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New machine-learning algorithm protects data against insider threats

GRC Announcements | June 28, 2017

Imperva, a provider of cyber-security solutions that protect business-critical data and applications, recently launched a new algorithm to automatically place individuals and their cross-functional peers into “virtual” working groups based on interactions with enterprise files to identify unusual user access patterns. This new Dynamic Peer Group Analysis algorithm proves an intelligent approach to permissions management that helps protect data against insider threats.

The new machine learning algorithm in CounterBreach 2.0 automatically identifies ad-hoc and cross-functional working groups, assigning users into peer groups. CounterBreach then analyzes user behavior and flags risky file access from... To get the full story, subscribe now.