Detect Insider Attacks and Anomalies with Machine LearningDownload
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.
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
Generates a risk score for each user and entity based on how dangerous their behavior is, helping security admins determine which threats merit investigation.
Identifies indicators of compromise and indicators of attack, exposing major threats including insider threats, account compromise, and data exfiltration.
Watch how Log360 UEBA identifies a compromised workstation and data exfiltration
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