Detect anomalous user behavior with machine learning.
You can build a wall, set up perimeter defenses, and spend massive resources maintaining it all. However, if the threat is from within, your efforts are all in vain.
Both external and internal threats can jeopardize your organization's security. Internal threats especially may catch you off guard. Enter user and entity behavior analytics (UEBA). UEBA technology 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.
Powered by machine learning, Log360 UEBA 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.
Spot deviant user and entity behavior such as logons at an unusual hour, excessive logon failures, and file deletions from a host that is not generally used by a particular user. Learn more
The Log360 UEBA dashboard gives you greater visibility into threats with its score-based risk assessment for users and entities. This approach helps you determine which threats actually merit investigation. Learn more
Log360 UEBA identifies indicators of compromise (IoCs) and indicators of attack (IoAs), exposing major threats including insider threats, account compromise, and data exfiltration. Learn more