The use of statistical analysis and machine learning to identify patterns in user behavior and detect anomalies that may indicate security threats or policy violations.
Behavioral analytics is core to modern insider risk management, using algorithms to establish baseline user behaviors and identify deviations that could indicate insider threats. It provides early warning capabilities and reduces reliance on rule-based detection systems.
A cybersecurity process that takes note of the normal conduct of users and entities within a network and identifies any anomalous behavior that could indicate a security threat.
The identification of items, events, or observations that do not conform to an expected pattern or normal behavior in a dataset.