This month, SC Labs takes another look at deception network tools. With the rapid developments and improvements seen in this space, it felt like we were looking at some of these products for the very first time.

Deception network tools implement machine learning technology that studies an environment and accompanying assets to create decoy assets, environments and in some cases, a full-blown OS to blend seamlessly and attract attackers. There is no reason for end users to interact with decoy assets in a production environment.. So, if they do, organizations can be certain they have malicious intentions.

Dynamic deceptions that change with an environment and keep pace with attackers, force adversaries to spend more time in networks and maintain their interest through enticing decoys and breadcrumbs. By keeping attackers engaged in the network longer, organizations have more time to observe their behavior, contain threats and remediate gaps in security plans to prevent further intrusions.

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