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Assets&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">included a very large network for industrial control systems (ICS) and&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">the necessary supervisory control and data acquisition (SCADA)&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">components which run their manufacturing processes end to end. Prior&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">to our involvement, this manufacturer had routinely removed routine&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">threats but were unaware of sophisticated malware infection or advanced&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">persistent threats. The customer had a large industry suite of cyber&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">defense products which included a firewall, anti-virus suites, multiple&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">intrusion detection software products, endpoint security and other&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">software.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Immediately upon installation, the TrapX DeceptionGrid generated&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">ALERTS and identified malicious activity in two key locations. Both of&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">these were on SCADA processors which were central to the&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">manufacturing process. An attack in this area could severely disrupt&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">ongoing manufacturing processes causing both a shut-down and millions&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">of dollars in potential loss. Our analysis it was determined that both of&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">these malicious processes were communicating through TOR to their&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">attackers. In one case the malicious process was attempting to establish&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">a new command and control connection through TOR. In the other case&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">command and control was established and many types of malware were&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">resident on the station.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Broad Scale Attack Deployed Through One Entry Point</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">TrapX found several types of malware deployed in this SCADA processor.&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">TR-Dropper.Gen2.trojan allowed full access and control of the infected&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">end-point. It allows for the collection and exfiltration of confidential&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">data. Additionally we found Packed.Win32.Katusha.e malware stealing&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">passwords which was communicating back to attacker IP addresses&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">through TOR.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Over several additional weeks, DeceptionGrid detected lateral movement&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">by attackers that identified two additional command and control sites.&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">The customer coordinated with TrapX and SCADA component vendors to&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">determine the impact of the attack, to eliminate it and then to reprovision&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">the software in all of the effected components.</span>\r\n","alias":"trapx-deception-grid-for-manufacturer-of-steel-products","roi":0,"seo":{"title":"TrapX Deception Grid for manufacturer of steel products","keywords":"control, TrapX, malware, were, which, SCADA, products, this","description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">The manufacturing case study focuses on one of the largest&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">manufacturers of","og:title":"TrapX Deception Grid for manufacturer of steel products","og:description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">The manufacturing case study focuses on one of the largest&nbsp;</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px;\">manufacturers of"},"deal_info":"","user":{"id":4195,"title":"Hidden user","logoURL":"https://old.roi4cio.com/uploads/roi/company/hidden_user.jpg","alias":"skrytyi-polzovatel","address":"","roles":[],"description":"User Information is confidential ","companyTypes":[],"products":{},"vendoredProductsCount":0,"suppliedProductsCount":0,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":98,"supplierImplementationsCount":0,"vendorImplementationsCount":0,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"Hidden user","keywords":"Hidden, user, User, Information, confidential","description":"User Information is confidential ","og:title":"Hidden user","og:description":"User Information is confidential ","og:image":"https://old.roi4cio.com/uploads/roi/company/hidden_user.jpg"},"eventUrl":""},"supplier":{"id":3890,"title":"TrapX","logoURL":"https://old.roi4cio.com/uploads/roi/company/TrapX.png","alias":"trapx","address":"","roles":[],"description":"TrapX has created a new generation of deception technology that provides real-time breach detection and prevention. 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Hundreds or thousands of tra","og:image":"https://old.roi4cio.com/uploads/roi/company/TrapX.png"},"eventUrl":""}],"products":[{"id":1724,"logo":false,"scheme":false,"title":"TrapX DeceptionGrid platform","vendorVerified":0,"rating":"3.30","implementationsCount":5,"suppliersCount":0,"alias":"trapx-deceptiongrid-platform","companyTypes":[],"description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defeat Advanced Cyber Attackers. </b>\r\nDeceptionGrid, named the Best Deception Technology of 2018, deploys a shifting minefield of Traps (decoys) and Deception Tokens (lures) that appear identical to your real IT &amp; IoT assets that no attacker can avoid.\r\n<b>Actionable Intelligence </b>\r\nJust one touch of a Trap by an attacker sets off a high-confidence alert. DeceptionGrid integrates with key elements of the network and security ecosystem to contain attacks and enable a return to normal operations.\r\n<b>The Deception Product of Choice </b>\r\nDeceptionGrid analyzes your network and automatically provisions hundreds-to-thousands of Traps and Lures. Each Trap is tailor-made to be identical to your native environment. Attackers can never tell what’s real and what’s fake because each Trap is designed to look and behave exactly like your real assets. In addition, Traps can also be camouflaged as any specialized IoT and OT devices.\r\n<b>Gain Access to a Powerful Community </b>\r\nFor the first time, defenders can collaborate and share deceptive counter-measures with each other. The DeceptionNet Community enables cyber-security teams to deceive cyber attackers by sharing deception strategies, new types of Traps, third-party connectors, best practices and more.\r\n<b>Deception Tokens </b>\r\nDeception Tokens (lures) appear as ordinary files, scripts and configurations, are embedded within real IT assets to bait and divert attackers away from real high value assets and into the traps.\r\n<b>Active Traps </b>\r\nActive Traps create a stream of false network traffic between deployed Traps to confuse and divert attackers that monitor the network traffic.\r\n<b><ins>Emulated Traps </ins></b>\r\n<b>Medium Interaction Emulated Traps </b>\r\nOur patented emulated traps can be deployed at the largest enterprise scale through automation. You can select from a wide variety of servers, databases, workstations, switches, routers and Traps tailor-made to your organization’s native environment. After a Trap is interacted with and the cyber-attack is thwarted, the Trap will change its shape and location, so the attacker will never learn if something is a Trap or a real asset.\r\n<b>Hundreds of New Industry Templates </b>\r\nThe DeceptionNet Community now offers hundreds of new industry templates (updated regularly) that are available for your use. In addition, our patented medium interaction traps also include expanded templates for specialized devices based on specific industries. These templates include, ATM and SWIFT assets for financial services, Point of Sale (PoS) devices for retail, as well as devices for medical, manufacturing and many more. This allows you to determine if attackers are targeting your specialized devices that are often vulnerable to attack.\r\n<b><ins>FullOS Traps </ins></b>\r\n<b>High Interaction (Full Operating System) Traps </b>\r\nDeceptionGrid enables the provision of full operating system (FullOS) Traps. Our medium interaction Traps automatically extend engaged attackers through our smart deception to our FullOS Traps for the deepest attacker diversion and engagement. FullOS Traps also enable you to clone existing assets – you can completely replicate actual production servers to further deceive attackers.","shortDescription":"The TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement, Advanced Persistent Threats (APTs) and sophisticated cybercriminals","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":18,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","keywords":"from, TrapX, DeceptionGrid, breach, attack, platform, intelligence, remediation, protects, assets, malicious insiders, lateral-movement, Advanced Persistent Threats (APTs), sophisticated cybercriminals, Console, Attack Visualization, security operations team, intrusion, Attacker ID, attack identification, human attacker, automated attack tools, security teams, Automated Provisioning, Deception Tokens, Active Traps, Emulated Traps, Medium Interaction Emulated Traps, FullOS Traps, High Interaction (Full Operating System) Traps","description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe","og:title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","og:description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe"},"eventUrl":"","translationId":1723,"dealDetails":{"avgPartnerDiscount":30,"dealProtection":1,"avgDealSize":30000,"dealSizeCurrency":"","avgDealClosing":3},"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"It is required to transfer the customer data to the vendor in order to receive a testing version for 30 days","categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":4,"title":"Reduce Costs"},{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":282,"title":"Unauthorized access to corporate IT systems and data"},{"id":336,"title":"Risk or Leaks of confidential information"},{"id":344,"title":"Malware infection via Internet, email, storage devices"},{"id":384,"title":"Risk of attacks by hackers"},{"id":385,"title":"Risk of data loss or damage"}]}},"categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"https://share.trapx.com/dl/s1mqPwZmMA","title":"Web-site of vendor"}},"comments":[],"referencesCount":0},"trapx-deceptiongrid-platform-for-financial-industry":{"id":428,"title":"TrapX DeceptionGrid Platform for financial industry","description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold; \">Attackers Target Authentication Data</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold; \">Project Background - a Technology Evaluation</span>\r\nOur financial case study focuses on a global insurance institution. Prior toour involvement, there were absolutely no indicators of malware infection or persistent threats visible to the customer. The customer had a robustindustry suite of cyber defense products which included a firewall, antivirussuites, intrusion detection software, endpoint security and othersoftware.\r\nWithin a short period of time, the TrapX DeceptionGrid generatedALERTS and identified two malicious separate processes involved inunauthorized lateral movement within the insurance company network.\r\nUpon analysis it was determined that both of these malicious processeswere communicating with multiple connection points in Russia.\r\nThese connection points in Russia and the other injected softwarecaptured worked together as an advanced password stealer. The attackerspenetrated the network and had captured password information. This targeted theft of authentication credentials represented a serious threat tothe integrity of the company's overall operations. At this time it has notbeen determined to what extent passwords were captured prior todetection.\r\nOther malware of lower risk identified by DeceptionGrid included Trj/Downloader.LEK Trojan, TROJ_QHOST.DB Trojan, and theW32.Greypack worm. All of these were not detected by the customersexisting cyber suite. Analysis suggests at least one of them might havebeen detected but the alerts were missed against the volume of overallalert traffic.\r\n\r\n<span style=\"font-weight: bold;\">Critical and Confidential Authentication Credentials at Risk</span>\r\nTrapX determined that critical and confidential password data was beingexfiltrated to Russia. 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DeceptionGrid integrates with key elements of the network and security ecosystem to contain attacks and enable a return to normal operations.\r\n<b>The Deception Product of Choice </b>\r\nDeceptionGrid analyzes your network and automatically provisions hundreds-to-thousands of Traps and Lures. Each Trap is tailor-made to be identical to your native environment. Attackers can never tell what’s real and what’s fake because each Trap is designed to look and behave exactly like your real assets. In addition, Traps can also be camouflaged as any specialized IoT and OT devices.\r\n<b>Gain Access to a Powerful Community </b>\r\nFor the first time, defenders can collaborate and share deceptive counter-measures with each other. The DeceptionNet Community enables cyber-security teams to deceive cyber attackers by sharing deception strategies, new types of Traps, third-party connectors, best practices and more.\r\n<b>Deception Tokens </b>\r\nDeception Tokens (lures) appear as ordinary files, scripts and configurations, are embedded within real IT assets to bait and divert attackers away from real high value assets and into the traps.\r\n<b>Active Traps </b>\r\nActive Traps create a stream of false network traffic between deployed Traps to confuse and divert attackers that monitor the network traffic.\r\n<b><ins>Emulated Traps </ins></b>\r\n<b>Medium Interaction Emulated Traps </b>\r\nOur patented emulated traps can be deployed at the largest enterprise scale through automation. You can select from a wide variety of servers, databases, workstations, switches, routers and Traps tailor-made to your organization’s native environment. After a Trap is interacted with and the cyber-attack is thwarted, the Trap will change its shape and location, so the attacker will never learn if something is a Trap or a real asset.\r\n<b>Hundreds of New Industry Templates </b>\r\nThe DeceptionNet Community now offers hundreds of new industry templates (updated regularly) that are available for your use. In addition, our patented medium interaction traps also include expanded templates for specialized devices based on specific industries. These templates include, ATM and SWIFT assets for financial services, Point of Sale (PoS) devices for retail, as well as devices for medical, manufacturing and many more. This allows you to determine if attackers are targeting your specialized devices that are often vulnerable to attack.\r\n<b><ins>FullOS Traps </ins></b>\r\n<b>High Interaction (Full Operating System) Traps </b>\r\nDeceptionGrid enables the provision of full operating system (FullOS) Traps. Our medium interaction Traps automatically extend engaged attackers through our smart deception to our FullOS Traps for the deepest attacker diversion and engagement. FullOS Traps also enable you to clone existing assets – you can completely replicate actual production servers to further deceive attackers.","shortDescription":"The TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement, Advanced Persistent Threats (APTs) and sophisticated cybercriminals","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":18,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","keywords":"from, TrapX, DeceptionGrid, breach, attack, platform, intelligence, remediation, protects, assets, malicious insiders, lateral-movement, Advanced Persistent Threats (APTs), sophisticated cybercriminals, Console, Attack Visualization, security operations team, intrusion, Attacker ID, attack identification, human attacker, automated attack tools, security teams, Automated Provisioning, Deception Tokens, Active Traps, Emulated Traps, Medium Interaction Emulated Traps, FullOS Traps, High Interaction (Full Operating System) Traps","description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe","og:title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","og:description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe"},"eventUrl":"","translationId":1723,"dealDetails":{"avgPartnerDiscount":30,"dealProtection":1,"avgDealSize":30000,"dealSizeCurrency":"","avgDealClosing":3},"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"It is required to transfer the customer data to the vendor in order to receive a testing version for 30 days","categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":384,"title":"Risk of attacks by hackers"},{"id":385,"title":"Risk of data loss or damage"},{"id":386,"title":"Risk of lost access to data and IT systems"}]}},"categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"https://trapx.com/wp-content/uploads/2017/08/Case_Study_TrapX_Finance_Insurance.pdf","title":"Web-site of vendor"}},"comments":[],"referencesCount":0},"trapx-deceptiongrid-platform-for-law-enforcement":{"id":431,"title":"TrapX DeceptionGrid Platform for Law Enforcement","description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Attackers Target Law Enforcement Data</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Project Background - a Technology Evaluation</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Our case study focuses on a prominent law enforcement agency. This agency has responsibility for many activities which may include highly sensitive investigations into organized crime and terrorist activity. This agency is always interested in improving their cyber defenses and has a large budget dedicated to technology acquisition. Priorities for this agency include the protection of the confidentiality of their ongoing operations, internal processes and their personnel.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">This agency conducted a survey of technology vendors and wanted to learn more about deception technology. They were familiar with legacy honeypot technology and found it to be far to expensive to implement both in terms of resources and financial cost. This agency was very cautious and had partitioned several networks within the enterprise. Some were to be used for highly confidential (classified) data only - others for data of lesser confidentiality.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Advanced Persistent Threat Leverages Lapse in Protocol</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">DeceptionGrid was placed into operation. Within one week the customer security operations (SOC) team received a High Priority Alert indicating the lateral movement of an advanced threat. The malware was automatically trapped and injected into the sandbox for continued analysis. The attackers had established sophisticated command and control and had bypassed the complete array of existing intrusion detection, firewall, endpoint and perimeter cyber software defense.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">A full investigation continued as DeceptionGrid continued to monitor and capture malware movement. The agency's security operations team determined that there was an internal breach in their protocol. A connection, in breach of the agency's operting procedures, was found between their secure network and one of the less secure networks (lower security rating). This breach in protocol enabled the attacker's access .</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Exfiltration of Data Discovered and Halted</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">The attacker was found to have moved without detection throughout the law enforcement agency network and servers. There were over ten explicit lateral movements made prior to detection by DeceptionGrid. The attacker found and exfiltrated data including the confidential records of agency personnel, their I.D information, their photographs and other highly confidential data. 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DeceptionGrid integrates with key elements of the network and security ecosystem to contain attacks and enable a return to normal operations.\r\n<b>The Deception Product of Choice </b>\r\nDeceptionGrid analyzes your network and automatically provisions hundreds-to-thousands of Traps and Lures. Each Trap is tailor-made to be identical to your native environment. Attackers can never tell what’s real and what’s fake because each Trap is designed to look and behave exactly like your real assets. In addition, Traps can also be camouflaged as any specialized IoT and OT devices.\r\n<b>Gain Access to a Powerful Community </b>\r\nFor the first time, defenders can collaborate and share deceptive counter-measures with each other. The DeceptionNet Community enables cyber-security teams to deceive cyber attackers by sharing deception strategies, new types of Traps, third-party connectors, best practices and more.\r\n<b>Deception Tokens </b>\r\nDeception Tokens (lures) appear as ordinary files, scripts and configurations, are embedded within real IT assets to bait and divert attackers away from real high value assets and into the traps.\r\n<b>Active Traps </b>\r\nActive Traps create a stream of false network traffic between deployed Traps to confuse and divert attackers that monitor the network traffic.\r\n<b><ins>Emulated Traps </ins></b>\r\n<b>Medium Interaction Emulated Traps </b>\r\nOur patented emulated traps can be deployed at the largest enterprise scale through automation. You can select from a wide variety of servers, databases, workstations, switches, routers and Traps tailor-made to your organization’s native environment. After a Trap is interacted with and the cyber-attack is thwarted, the Trap will change its shape and location, so the attacker will never learn if something is a Trap or a real asset.\r\n<b>Hundreds of New Industry Templates </b>\r\nThe DeceptionNet Community now offers hundreds of new industry templates (updated regularly) that are available for your use. In addition, our patented medium interaction traps also include expanded templates for specialized devices based on specific industries. These templates include, ATM and SWIFT assets for financial services, Point of Sale (PoS) devices for retail, as well as devices for medical, manufacturing and many more. This allows you to determine if attackers are targeting your specialized devices that are often vulnerable to attack.\r\n<b><ins>FullOS Traps </ins></b>\r\n<b>High Interaction (Full Operating System) Traps </b>\r\nDeceptionGrid enables the provision of full operating system (FullOS) Traps. Our medium interaction Traps automatically extend engaged attackers through our smart deception to our FullOS Traps for the deepest attacker diversion and engagement. FullOS Traps also enable you to clone existing assets – you can completely replicate actual production servers to further deceive attackers.","shortDescription":"The TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement, Advanced Persistent Threats (APTs) and sophisticated cybercriminals","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":18,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","keywords":"from, TrapX, DeceptionGrid, breach, attack, platform, intelligence, remediation, protects, assets, malicious insiders, lateral-movement, Advanced Persistent Threats (APTs), sophisticated cybercriminals, Console, Attack Visualization, security operations team, intrusion, Attacker ID, attack identification, human attacker, automated attack tools, security teams, Automated Provisioning, Deception Tokens, Active Traps, Emulated Traps, Medium Interaction Emulated Traps, FullOS Traps, High Interaction (Full Operating System) Traps","description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe","og:title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","og:description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe"},"eventUrl":"","translationId":1723,"dealDetails":{"avgPartnerDiscount":30,"dealProtection":1,"avgDealSize":30000,"dealSizeCurrency":"","avgDealClosing":3},"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"It is required to transfer the customer data to the vendor in order to receive a testing version for 30 days","categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":384,"title":"Risk of attacks by hackers"},{"id":385,"title":"Risk of data loss or damage"},{"id":386,"title":"Risk of lost access to data and IT systems"}]}},"categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"https://trapx.com/wp-content/uploads/2017/08/Case_Study_TrapX_StateLawEnforcement.pdf","title":"Web-site of vendor"}},"comments":[],"referencesCount":0},"trapx-deceptiongrid-platform-for-national-government":{"id":429,"title":"TrapX DeceptionGrid Platform for National Government","description":"<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); font-weight: bold; \">Multiple Attackers Penetrate National Agency</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); font-weight: bold; \">Project Background - a Technology Evaluation</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); \">Our case study focuses on a large national government agency. This agency has hundreds of employees and has multiple facilities disbursed over a large geographic area. This agency wanted to learn more about deception technology as part of their regular evaluation of cyber security vendors.</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); font-weight: bold; \">Massive Penetration by Attackers Detected in Multiple Areas</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); \">DeceptionGrid was placed into operation. Starting almost immediately and over the course of several weeks the government security operations command (SOC) team received multiple High Priority Alerts. This was one of the most massive attacks we have ever discovered. We identified multiple attackers in several areas to include over five (5+) attackers using malware servers, over five (5+) attackers linking back data flow to botnet c&amp;c servers and over fifty (50+) remote attackers using TOR anonymous proxy to hide source IP addresses. In some cases the malware was automatically trapped and injected into the sandbox for continued analysis. Multiple attackers had established command and control and had bypassed the complete array of existing intrusion detection, firewall, endpoint and perimeter cyber software defense.</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); \">Malware found included Cryptowall, P2P Malware, Trojan-Banker, TrojanRansome, Mobogenie.B and WS.Reputation.1.&nbsp;</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); font-weight: bold; \">Exfiltration of Data Discovered - Broadscale Remediation Required</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); \">It is clear that multiple attackers have successfully exfiltrated data from this government agency. The attack vectors varied substantially and compromised workstations and servers across multiple departments. Required remediation was done on a broad scale and included reprovisioning of both workstations and servers. The government involved has been forced to either re-provision on a large scale, or, to perform more time intensive memory dump analysis to better understand the extent of the penetration by this varied mix of attackers. Source attacker IP adresses as known are confidential at this time and part of an ongoing criminal investigation.</span>","alias":"trapx-deceptiongrid-platform-for-national-government","roi":0,"seo":{"title":"TrapX DeceptionGrid Platform for National Government","keywords":"","description":"<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); font-weight: bold; \">Multiple Attackers Penetrate National Agency</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); font-weight: bol","og:title":"TrapX DeceptionGrid Platform for National Government","og:description":"<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); font-weight: bold; \">Multiple Attackers Penetrate National Agency</span>\r\n<span style=\"font-size: 12px; font-family: Verdana, sans-serif; color: rgb(0, 0, 0); font-weight: bol"},"deal_info":"","user":{"id":4195,"title":"Hidden user","logoURL":"https://old.roi4cio.com/uploads/roi/company/hidden_user.jpg","alias":"skrytyi-polzovatel","address":"","roles":[],"description":"User Information is confidential ","companyTypes":[],"products":{},"vendoredProductsCount":0,"suppliedProductsCount":0,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":98,"supplierImplementationsCount":0,"vendorImplementationsCount":0,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"Hidden user","keywords":"Hidden, user, User, Information, confidential","description":"User Information is confidential ","og:title":"Hidden user","og:description":"User Information is confidential ","og:image":"https://old.roi4cio.com/uploads/roi/company/hidden_user.jpg"},"eventUrl":""},"supplier":{"id":3890,"title":"TrapX","logoURL":"https://old.roi4cio.com/uploads/roi/company/TrapX.png","alias":"trapx","address":"","roles":[],"description":"TrapX has created a new generation of deception technology that provides real-time breach detection and prevention. 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Hundreds or thousands of tra","og:image":"https://old.roi4cio.com/uploads/roi/company/TrapX.png"},"eventUrl":""}],"products":[{"id":1724,"logo":false,"scheme":false,"title":"TrapX DeceptionGrid platform","vendorVerified":0,"rating":"3.30","implementationsCount":5,"suppliersCount":0,"alias":"trapx-deceptiongrid-platform","companyTypes":[],"description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defeat Advanced Cyber Attackers. </b>\r\nDeceptionGrid, named the Best Deception Technology of 2018, deploys a shifting minefield of Traps (decoys) and Deception Tokens (lures) that appear identical to your real IT &amp; IoT assets that no attacker can avoid.\r\n<b>Actionable Intelligence </b>\r\nJust one touch of a Trap by an attacker sets off a high-confidence alert. DeceptionGrid integrates with key elements of the network and security ecosystem to contain attacks and enable a return to normal operations.\r\n<b>The Deception Product of Choice </b>\r\nDeceptionGrid analyzes your network and automatically provisions hundreds-to-thousands of Traps and Lures. Each Trap is tailor-made to be identical to your native environment. Attackers can never tell what’s real and what’s fake because each Trap is designed to look and behave exactly like your real assets. In addition, Traps can also be camouflaged as any specialized IoT and OT devices.\r\n<b>Gain Access to a Powerful Community </b>\r\nFor the first time, defenders can collaborate and share deceptive counter-measures with each other. The DeceptionNet Community enables cyber-security teams to deceive cyber attackers by sharing deception strategies, new types of Traps, third-party connectors, best practices and more.\r\n<b>Deception Tokens </b>\r\nDeception Tokens (lures) appear as ordinary files, scripts and configurations, are embedded within real IT assets to bait and divert attackers away from real high value assets and into the traps.\r\n<b>Active Traps </b>\r\nActive Traps create a stream of false network traffic between deployed Traps to confuse and divert attackers that monitor the network traffic.\r\n<b><ins>Emulated Traps </ins></b>\r\n<b>Medium Interaction Emulated Traps </b>\r\nOur patented emulated traps can be deployed at the largest enterprise scale through automation. You can select from a wide variety of servers, databases, workstations, switches, routers and Traps tailor-made to your organization’s native environment. After a Trap is interacted with and the cyber-attack is thwarted, the Trap will change its shape and location, so the attacker will never learn if something is a Trap or a real asset.\r\n<b>Hundreds of New Industry Templates </b>\r\nThe DeceptionNet Community now offers hundreds of new industry templates (updated regularly) that are available for your use. In addition, our patented medium interaction traps also include expanded templates for specialized devices based on specific industries. These templates include, ATM and SWIFT assets for financial services, Point of Sale (PoS) devices for retail, as well as devices for medical, manufacturing and many more. This allows you to determine if attackers are targeting your specialized devices that are often vulnerable to attack.\r\n<b><ins>FullOS Traps </ins></b>\r\n<b>High Interaction (Full Operating System) Traps </b>\r\nDeceptionGrid enables the provision of full operating system (FullOS) Traps. Our medium interaction Traps automatically extend engaged attackers through our smart deception to our FullOS Traps for the deepest attacker diversion and engagement. FullOS Traps also enable you to clone existing assets – you can completely replicate actual production servers to further deceive attackers.","shortDescription":"The TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement, Advanced Persistent Threats (APTs) and sophisticated cybercriminals","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":18,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","keywords":"from, TrapX, DeceptionGrid, breach, attack, platform, intelligence, remediation, protects, assets, malicious insiders, lateral-movement, Advanced Persistent Threats (APTs), sophisticated cybercriminals, Console, Attack Visualization, security operations team, intrusion, Attacker ID, attack identification, human attacker, automated attack tools, security teams, Automated Provisioning, Deception Tokens, Active Traps, Emulated Traps, Medium Interaction Emulated Traps, FullOS Traps, High Interaction (Full Operating System) Traps","description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe","og:title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","og:description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe"},"eventUrl":"","translationId":1723,"dealDetails":{"avgPartnerDiscount":30,"dealProtection":1,"avgDealSize":30000,"dealSizeCurrency":"","avgDealClosing":3},"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"It is required to transfer the customer data to the vendor in order to receive a testing version for 30 days","categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":384,"title":"Risk of attacks by hackers"},{"id":385,"title":"Risk of data loss or damage"},{"id":386,"title":"Risk of lost access to data and IT systems"}]}},"categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"https://trapx.com/wp-content/uploads/2017/08/Case_Study_TrapX_NationalGovernment.pdf","title":"Web-site of vendor"}},"comments":[],"referencesCount":0},"trapx-deceptiongrid-platform-for-software-vendor":{"id":430,"title":"TrapX DeceptionGrid Platform for Software Vendor","description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Attackers Target Software Company</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Project Background - a Technology Evaluation</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Our case study focuses on a leading software vendor that provides software through cloud services to their customers in healthcare. This customer's information technology team invested very substantially in defense-in-depth cyber defense software. Their security operations center regularly detected malware and was able to routinely remediate all of these known incidents.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">The customer had a strong industry suite of cyber defense products which included firewalls, anti virus suites, intrusion detection software, endpoint security and other software. Our initial installation included over ten (10) vLANS.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">DeceptionGrid was placed into operation. Almost immediately the customer information technology staff received multiple High Priority Alerts. These included identified suspicious activity and led to the discovery of several network misconfigurations. Several internal internet addresses were exposed to the internet and open to a variety of high risk protocols. Inbound connections from attackers were operational via SSH, Telnet and Remote Desktop. A TOR (anonymous proxy) obfuscated web crawler had mapped all of the exposed hosts.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Some of the malware was automatically trapped and injected into the sandbox by DeceptionGrid for continued analysis. The attackers had multiple command and control points and had bypassed the complete array of existing security.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Multiple Concurrent Attackers Detected and Remediated</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">A full investigation continued as DeceptionGrid continued to monitor and capture malware movement. Multiple command and control point in six (6) workstations were linked to attackers in Beijing China, Moldava, and the multiple locations within Ukraine. Dozens of workstations had to be reprovisioned to eliminate access. Manual memory dump and analysis was required across many information technology assets to identify the full scope of the extensive and previously undetected attacker activity. Scope of Data Theft Remains Indeterminate Multiple attackers accessed this technology company's networks workstations and servers. The scope of intellectual property data exfiltration and theft is unknown but under continued investigation.&nbsp;</span>","alias":"trapx-deceptiongrid-platform-for-software-vendor","roi":0,"seo":{"title":"TrapX DeceptionGrid Platform for Software Vendor","keywords":"","description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Attackers Target Software Company</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Project ","og:title":"TrapX DeceptionGrid Platform for Software Vendor","og:description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Attackers Target Software Company</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Project "},"deal_info":"","user":{"id":4195,"title":"Hidden user","logoURL":"https://old.roi4cio.com/uploads/roi/company/hidden_user.jpg","alias":"skrytyi-polzovatel","address":"","roles":[],"description":"User Information is confidential ","companyTypes":[],"products":{},"vendoredProductsCount":0,"suppliedProductsCount":0,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":98,"supplierImplementationsCount":0,"vendorImplementationsCount":0,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"Hidden user","keywords":"Hidden, user, User, Information, confidential","description":"User Information is confidential ","og:title":"Hidden user","og:description":"User Information is confidential ","og:image":"https://old.roi4cio.com/uploads/roi/company/hidden_user.jpg"},"eventUrl":""},"supplier":{"id":3890,"title":"TrapX","logoURL":"https://old.roi4cio.com/uploads/roi/company/TrapX.png","alias":"trapx","address":"","roles":[],"description":"TrapX has created a new generation of deception technology that provides real-time breach detection and prevention. 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Our field proven solution deceives would-be attackers with turn-key decoys (traps) that “imitate” your true assets. Hundreds or thousands of tra","og:title":"TrapX","og:description":"TrapX has created a new generation of deception technology that provides real-time breach detection and prevention. Our field proven solution deceives would-be attackers with turn-key decoys (traps) that “imitate” your true assets. Hundreds or thousands of tra","og:image":"https://old.roi4cio.com/uploads/roi/company/TrapX.png"},"eventUrl":""}],"products":[{"id":1724,"logo":false,"scheme":false,"title":"TrapX DeceptionGrid platform","vendorVerified":0,"rating":"3.30","implementationsCount":5,"suppliersCount":0,"alias":"trapx-deceptiongrid-platform","companyTypes":[],"description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defeat Advanced Cyber Attackers. </b>\r\nDeceptionGrid, named the Best Deception Technology of 2018, deploys a shifting minefield of Traps (decoys) and Deception Tokens (lures) that appear identical to your real IT &amp; IoT assets that no attacker can avoid.\r\n<b>Actionable Intelligence </b>\r\nJust one touch of a Trap by an attacker sets off a high-confidence alert. DeceptionGrid integrates with key elements of the network and security ecosystem to contain attacks and enable a return to normal operations.\r\n<b>The Deception Product of Choice </b>\r\nDeceptionGrid analyzes your network and automatically provisions hundreds-to-thousands of Traps and Lures. Each Trap is tailor-made to be identical to your native environment. Attackers can never tell what’s real and what’s fake because each Trap is designed to look and behave exactly like your real assets. In addition, Traps can also be camouflaged as any specialized IoT and OT devices.\r\n<b>Gain Access to a Powerful Community </b>\r\nFor the first time, defenders can collaborate and share deceptive counter-measures with each other. The DeceptionNet Community enables cyber-security teams to deceive cyber attackers by sharing deception strategies, new types of Traps, third-party connectors, best practices and more.\r\n<b>Deception Tokens </b>\r\nDeception Tokens (lures) appear as ordinary files, scripts and configurations, are embedded within real IT assets to bait and divert attackers away from real high value assets and into the traps.\r\n<b>Active Traps </b>\r\nActive Traps create a stream of false network traffic between deployed Traps to confuse and divert attackers that monitor the network traffic.\r\n<b><ins>Emulated Traps </ins></b>\r\n<b>Medium Interaction Emulated Traps </b>\r\nOur patented emulated traps can be deployed at the largest enterprise scale through automation. You can select from a wide variety of servers, databases, workstations, switches, routers and Traps tailor-made to your organization’s native environment. After a Trap is interacted with and the cyber-attack is thwarted, the Trap will change its shape and location, so the attacker will never learn if something is a Trap or a real asset.\r\n<b>Hundreds of New Industry Templates </b>\r\nThe DeceptionNet Community now offers hundreds of new industry templates (updated regularly) that are available for your use. In addition, our patented medium interaction traps also include expanded templates for specialized devices based on specific industries. These templates include, ATM and SWIFT assets for financial services, Point of Sale (PoS) devices for retail, as well as devices for medical, manufacturing and many more. This allows you to determine if attackers are targeting your specialized devices that are often vulnerable to attack.\r\n<b><ins>FullOS Traps </ins></b>\r\n<b>High Interaction (Full Operating System) Traps </b>\r\nDeceptionGrid enables the provision of full operating system (FullOS) Traps. Our medium interaction Traps automatically extend engaged attackers through our smart deception to our FullOS Traps for the deepest attacker diversion and engagement. FullOS Traps also enable you to clone existing assets – you can completely replicate actual production servers to further deceive attackers.","shortDescription":"The TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement, Advanced Persistent Threats (APTs) and sophisticated cybercriminals","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":18,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","keywords":"from, TrapX, DeceptionGrid, breach, attack, platform, intelligence, remediation, protects, assets, malicious insiders, lateral-movement, Advanced Persistent Threats (APTs), sophisticated cybercriminals, Console, Attack Visualization, security operations team, intrusion, Attacker ID, attack identification, human attacker, automated attack tools, security teams, Automated Provisioning, Deception Tokens, Active Traps, Emulated Traps, Medium Interaction Emulated Traps, FullOS Traps, High Interaction (Full Operating System) Traps","description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe","og:title":"DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders, lateral-movement","og:description":"<div style=\"text-align: center;\"><b>DeceptionGrid</b>\r\n<div style=\"text-align: center;\">TrapX DeceptionGrid protects your valuable assets against a multitude of attacks including malicious insiders and sophisticated cybercriminals.\r\n<b>Deceive, Detect and Defe"},"eventUrl":"","translationId":1723,"dealDetails":{"avgPartnerDiscount":30,"dealProtection":1,"avgDealSize":30000,"dealSizeCurrency":"","avgDealClosing":3},"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"It is required to transfer the customer data to the vendor in order to receive a testing version for 30 days","categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":384,"title":"Risk of attacks by hackers"},{"id":385,"title":"Risk of data loss or damage"},{"id":386,"title":"Risk of lost access to data and IT systems"}]}},"categories":[{"id":199,"title":"Deception Techniques and Honeypots","alias":"deception-techniques-and-honeypots","description":"Deception technology is an emerging category of cyber security defense. Deception technology products can detect, analyze and defend against zero-day and advanced attacks, often in real time. They are automated, accurate and provide insight into malicious activity within internal networks, which may be unseen by other types of cyber defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations.\r\nDeception technology automates the creation of traps (decoys) and/or lures, which are mixed among and within existing IT resources to provide a layer of protection to stop attackers that have penetrated the network. Traps (decoys) are IT assets that either use real licensed operating system software, or are emulations of these devices.\r\nTraps (decoys) which use emulations can also imitate medical devices, automated teller machines (ATMs), retail point of sale systems, switches, routers and much more. Lures are generally real information technology resources (files of varying kinds) which are placed on actual IT assets.\r\nUpon penetrating the network, attackers seek to establish a backdoor and then use this to identify and exfiltrate data and intellectual property. They begin moving laterally through the internal VLANs and almost immediately will &quot;look at&quot; one of the traps (decoys). Interacting with one of these &quot;decoys&quot; will trigger an alert. These alerts are very high probability and almost always coincide to an ongoing attack. The deception is designed to lure the attacker in – the attacker may consider this a worthy asset and continue by injecting malware. Deception technology generally allows for automated static and dynamic analysis of this injected malware and provides these reports through automation to the security operations personnel. Deception technology may also identify, through indicators of compromise (IOC), suspect end-points that are part of the compromise cycle. Automation also allows for an automated memory analysis of the suspect end-point, and then automatically isolates the suspect end-point. Many partner integrations allow for a variety of implementation paths for existing enterprise and government customers.\r\nInternet of things (IoT) devices are not usually scanned by legacy defense in depth cyber defense and remain prime targets for attackers within the network. Deception technology can identify attackers moving laterally into the network from within these devices.\r\nIntegrated turnkey devices that utilize embedded operating systems, but do not allow these operating systems to be scanned or closely protected by embedded end-point or intrusion detection software are also well protected by a deception technology deployment in the same network. Examples include process control systems (SCADA) used in many manufacturing applications on a global basis. Deception technology has been associated with the discovery of Zombie Zero, an attack vector wherein deception technology identified an attacker utilizing malware embedded in barcode readers which were manufactured overseas.\r\nMedical devices are particular vulnerable to cyber attacks within the healthcare networks. As FDA-certified devices they are closed systems and not accessible to standard cyber defense software. Deception technology can surround and protect these devices and identify attackers using these for backdoor placement and data exfiltration. Recently documented cyber attacks on medical devices include x-ray machines, CT scanners, MRI scanners, blood gas analyzers, PACS systems and many more. Networks utilizing these devices can be protected by deception technology. This attack vector, called medical device hijack or medjack, is estimated to have penetrated many hospitals worldwide.\r\nSpecialized deception technology products are now capable of addressing the rise in ransomware. Select products can deceive ransomware into engaging in an attack on a decoy resource, while isolating the infection points and alerting the cyber defense software team.","materialsDescription":"<span style=\"font-weight: bold;\">Why Use Deception Technology?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Early Post-Breach Detection</span></span>\r\nNo security solution can stop all attacks from occurring on a network, but deception technology helps to give attackers a false sense of security by making them believe they have gained a foothold in your network. From here you can monitor and record their behavior, secure in the knowledge that they can do no damage to your decoy systems. The information you record about attacker behavior and techniques can be used to further secure your network from attack.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduced False Positives and Risk</span></span>\r\nDead ends, false positives and alert fatigue can all hamper security efforts and put a drain on resources, if they are even analyzed at all. Too much noise can result in IT teams becoming complacent and ignoring what could potentially be a legitimate threat. Deception technology reduces the noise with fewer false positives and high fidelity alerts packed full of useful data.\r\nDeception technology is also a low risk as it has no risk to data or impact on resources or operations. When a hacker accesses or attempts to use part of the deception layer, a real and accurate alert is generated that tells admins they need to take action.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Scale and Automate at Will</span></span>\r\nWhile the threat to corporate networks and data is a daily growing concern, security teams rarely get an increase in their budget to handle the deluge of new threats. For this reason, deception technology can be a very welcome solution. Automated alerts eliminate the need for manual effort and intervention while the design of the technology allows it to be scaled easily as the organization and threat level grows.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">From Legacy to IoT</span></span>\r\nDeception technology can be used to provide breadcrumbs for a vast range of different devices, including legacy environments, industry-specific environments and even IoT devices.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Deception_Techniques_and_Honeypots.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"https://trapx.com/wp-content/uploads/2017/08/Case_Study_TrapX_Software.pdf","title":"Web-site of vendor"}},"comments":[],"referencesCount":0}},"aliases":{"1":["trapx-deception-grid-for-manufacturer-of-steel-products","trapx-deceptiongrid-platform-for-financial-industry","trapx-deceptiongrid-platform-for-law-enforcement","trapx-deceptiongrid-platform-for-national-government","trapx-deceptiongrid-platform-for-software-vendor"]},"links":{"first":"http://b4r_be/api/implementations?page=1","last":"http://b4r_be/api/implementations?page=1","prev":null,"next":null},"meta":{"current_page":1,"from":1,"last_page":1,"path":"http://b4r_be/api/implementations","per_page":20,"to":5,"total":5},"loading":false,"error":null},"agreements":{"agreementById":{},"ids":{},"links":{},"meta":{},"loading":false,"error":null},"comparison":{"loading":false,"error":false,"templatesById":{},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}