User and entity behavior analytics (UEBA) helps security analysts easily discover suspicious behavior and detect security incidents that other solutions leave unnoticed.
Using advanced machine learning, UEBA builds baselines for normal behavior for every user, peer group, and entity in the network instead of applying predefined rules for standard behavior. By evaluating activity differing from these baselines, UEBA detects abnormal and risky behaviors that are not immediately obvious. It sets risk scores for users and machines and compares use behavior to their peers.
Logpoint UEBA calculates risk scores in a set 0-100 range instead of a variable scale, making it easy for security analysts to prioritize. The closer the score is to 100, the riskier the behavior is.
UEBA provides more tailored detection to each selected user and entity so analysts can spot, prioritize, and manage anomalies easier. It empowers your analysts by significantly speeding up the threat hunting and response time, reducing alert fatigue, and driving them to focus on managing threats requiring attention.