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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. 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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. 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DeceptionGrid scans your existing network and provisions hundreds-to-thousands of deception components including Tokens (lures) and Traps (decoys).</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Deception Tokens</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px;\">Deception Tokens (lures) appear as ordinary files, scripts and databases, are embedded within real IT assets to bait and divert attackers.</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Active Traps</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px;\">New active traps functionality creates a stream of false network traffic between deployed traps to confuse and divert attackers that monitor the network traffic.</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Emulated Traps</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Medium Interaction Emulated Traps</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px;\">Our 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 more.</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Industry Templates</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px;\">The patented medium interaction traps now include expanded templates for specialized devices based on industries. These templates include, ATM’s and SWIFT assets for financial services, or Point of Sale (PoS) devices for retail, as well as devices for medical, manufacturing and many more, allowing customers to determine if attackers are targeting specialized devices that are often vulnerable to attack.</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">FullOS Traps</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">High Interaction (Full Operating System) Traps</span>\r\n<span style=\"color: #000000; font-family: Verdana, sans-serif; font-size: 12px;\">DeceptionGrid enables the provision of full operating system (fullOS) traps. Our medium interaction traps automatically extend engaged attackers through our smart deception to our fullOS decoys for the deepest attacker diversion and engagement. 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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. 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