Anomaly Detection

Anomaly Detection

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.

    • Machine learning algorithms are executed on all collected data to build behavior profiles across users and groups / departments
    • User and Entity Behavior Analysis (UEBA) based detection for complex insider threats scenarios
    • Intelligent automated security alerts to notify administrators about high-risk users and activity
    • Ability to proactively block users when they try to perform actions that are regarded as high-risk by the anomaly detector