Uses machine learning algorithms
UEBA based detection for complex insider threats scenarios
Alerts to notify administrators about high-risk users and activity
Anomaly Detection’s innovative technology is based upon machine learning algorithms that analyze company-wide employee behavior, building typical employee profiles across company departments and users groups. Once specific User and Entity Behavior Analysis (UEBA) has been established, the software can than provide intelligent automated security alerts, notifying administrators the presence of high-risk users and their activity patterns.