User and Entity Behavior Analytics

Detect Insider Attacks and Anomalies with Machine Learning

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Stronger security starts with UEBA

Powered by machine learning, the Log360 UEBA add-on detects anomalies by recognizing subtle shifts in user activity. It helps you identify, qualify, and investigate internal threats by extracting more information from your logs for better context.

  • Anomaly detection

    Spots deviant user and entity behavior such as logons at unusual hours, excessive logon failures, and file deletions from a host that is not generally used by a particular user

    Anamaly Detection
  • Score-based risk assessment

    Generates a risk score for each user and entity based on how dangerous their behavior is, helping security admins determine which threats merit investigation.

    Score based risk assessment
  • Threat corroboration

    Identifies indicators of compromise and indicators of attack, exposing major threats including insider threats, account compromise, and data exfiltration.

     Threat Corroboration
Anamaly Detection
Score based risk assessment
 Threat Corroboration

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