ManageEngine brings in Log360, UEBA in its SIEM solution

ManageEngine has announced that it has introduced user and entity behaviour analytics (UEBA) into its SIEM solution, Log360. With score-based risk assessment, threat corroboration, anomaly detection powered by machine learning, and other new capabilities, the Log360 UEBA add-on helps security professionals identify, qualify, and investigate internal threats and anomalies by extracting more information from logs for better context. UEBA delivers more robust and accurate threat detection by using machine learning to set a baseline of a user’s normal activity, and then flag any deviations from that baseline.

Manikandan Thangaraj, director of program management at ManageEngine, says, "In today’s IT security landscape, rigid alert rules and conventional threat detection systems no longer make the cut. The need of the hour is a system that can learn and adapt to continuous change. Log360 UEBA does just that and improves the accuracy of threat detection, helping SOC personnel qualify and investigate threats that actually merit investigation."

Log360 UEBA monitors user activity captured in logs to identify behavioral changes. User activities that would otherwise go unnoticed are flagged, reducing the time it takes to detect and respond to threats. The highlights of Log360 UEBA include -

● Anomaly detection: Spots deviant user and entity behaviour such as logons at unusual hours, excessive logon failures, and file deletions from a host that is not generally used by a particular user.

● Score-based risk assessment: Generates a risk score for each user and entity based on how dangerous their behaviour is, helping security admins determine which threats merit investigation.

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

Pricing and Availability

The Log360 UEBA add-on is available immediately at https://goo.gl/25wyfH and is priced at $495.