The Insider Threat is a major cyber security challenge for many organizations. Insiders are already within the perimeter, past the firewalls and remote access controls, which makes them much harder to detect and prevent. Worse, a malicious insider already knows exactly where to find the most valuable information, so they can access the organization鈥檚 most sensitive data with little risk of being stopped or caught.
Gurucul Predicts, Detects, and Stops Insider Threats in Real-Time
The most effective way to detect insider threats, without generating high volumes of false positive alerts, is to create time-based behavioral baselines and continuously learn what is acceptable behavior in order to detect anomalies. This requires monitoring and analyzing massive amounts of data from a myriad of sources using advanced machine learning models and data science to pinpoint privilege abuse. This is what Gurucul does, in real time, with exceptional accuracy.
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