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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. 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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":[]}],"suppliedProducts":[{"id":1656,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Smokescreen.png","logo":true,"scheme":false,"title":"IllusionBlack","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"illusionblack","companyTitle":"Smokescreen","companyTypes":["supplier","vendor"],"companyId":4313,"companyAlias":"smokescreen","description":"\r\n<p>Stop Advanced Cyber Threats With Deception Technology By deploying hundreds of unique deception tripwires, IllusionBLACK maximises attack detection through the kill-chain, even against stealthy, targeted campaigns that don&rsquo;t involve malware. From targeted threat intelligence of an impending attack, to detecting lateral movement in every single subnet, Smokescreen&rsquo;s deception technology helps turn the tables on apex attackers.</p>\r\n\r\n\r\n<p><span style=\"font-weight: bold;\">Full Kill-Chain Coverage</span></p>\r\n\r\n\r\n<p>IllusionBLACK decoys detect pre-attack reconnaissance, spear-phishing attacks, privilege escalation, lateral movement and data-theft.</p>\r\n\r\n\r\n<p><span style=\"font-weight: bold;\">Deep Network Visibility</span></p>\r\n\r\n\r\n<p>Instantly deploy 100's of individually unique, customisable traps across all your endpoints and in every single subnet of your network.</p>\r\n\r\n\r\n<p><span style=\"font-weight: bold;\">Attack Vector Agnostic</span></p>\r\n\r\n\r\n<p>Deception does not rely on static signatures or heuristics to identify attacks, so it stays effective no matter what the bad guys try tomorrow. IllusionBLACK detects threats no matter what they attack It has advanced 3rd generation deception features, including:</p>\r\n<ul>\r\n<li>MirageMaker&trade;. Realistic auto-created decoy data fills deceptive assets with always unique, instantly changing content.</li>\r\n<li>ThreatParse&trade;. Natural language attack reconstruction parses raw attack data into plain-English attack analysis.</li>\r\n<li>Automated triage. Agentless investigation of compromised endpoints to reduce root cause analysis time and capture volatile forensic information.</li>\r\n<li>WebDeflect&trade;. Integrate deception into any web or mobile application to guard against business logic attacks.</li>\r\n<li>ThreatDeflect&trade;. Redirect attacks to decoy cloud environments to keep attackers engaged while containment kicks in.</li>\r\n<li>Forensic preservation. All evidence recorded and preserved for further analysis in industry standard formats.</li>\r\n<li>Smart Integrations. Logic-driven automatic response and orchestration to execute response strategies at wire-speed.</li>\r\n<li>Hardened BSD UNIX base. Rock-solid security built for highly-targeted environments, coupled with BSD UNIX's legendary reliability.</li>\r\n<li>Threat intelligence export. Machine consumable through STIX, JSON and CSV, as well as integrations with other security infrastructure.</li>\r\n</ul>\r\n","shortDescription":"IllusionBLACK features rapid out-of-band deployment, no performance impact, enterprise scalability, and minimal false positives","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":18,"sellingCount":2,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"IllusionBlack","keywords":"","description":"\r\n<p>Stop Advanced Cyber Threats With Deception Technology By deploying hundreds of unique deception tripwires, IllusionBLACK maximises attack detection through the kill-chain, even against stealthy, targeted campaigns that don&rsquo;t involve malware. From ta","og:title":"IllusionBlack","og:description":"\r\n<p>Stop Advanced Cyber Threats With Deception Technology By deploying hundreds of unique deception tripwires, IllusionBLACK maximises attack detection through the kill-chain, even against stealthy, targeted campaigns that don&rsquo;t involve malware. From ta","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Smokescreen.png"},"eventUrl":"","translationId":1657,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[{"id":28,"title":"Deception Techniques and Honeypots"}],"testingArea":"","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":[]}],"partnershipProgramme":null}},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"implementations":{"implementationsByAlias":{},"aliases":{},"links":{},"meta":{},"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":""}}