The growing ability of attackers to breach even well-defended enterprise networks has led to increased interest in deception technologies and tactics in recent years.
Deception tools basically use misdirection, false responses, and other tricks to lure attackers away from legitimate targets and point them to honeypots and other decoy systems designed to trap or distract them from their missions. Deception tools — many of which leverage artificial intelligence (AI) and machine learning (ML) — can help organizations detect intrusions early and provide them with an opportunity to observe an attacker’s tools and tactics.
Deception is an interesting concept, says Tony Cole, CTO of Attivo Networks, “and has been around in various forms for millennia.”
“Deception can work on almost any place in an enterprise where potential compromises can take place,” he says, adding it is especially useful where endpoint protection and endpoint detection and response tools may have gaps in protection. “For instance, when an endpoint is comprised and the adversary uses it to query Active Directory, you can provide false information back to the adversary without ever impacting the production environment.”