UEBA - User and Entity Behavior Analytics

Analyzes user and system behavior in real-time to detect anomalies and potential security threats

UEBA uses machine learning algorithms to identify patterns of behavior that are normal for a given user or entity and then identifies deviations from that behavior that may indicate a security threat.


UEBA is becoming increasingly popular as a cybersecurity tool due to its ability to identify threats that traditional security systems may miss. By looking at behavior rather than just data, UEBA can detect threats that are not easily visible, such as a user who is compromising sensitive information without intending to do so. However, it is important to note that UEBA is not a replacement for other cybersecurity technologies, but rather it complements and enhances their effectiveness.