Mini toolsDefinition
The use of AI to identify unusual patterns or behaviors that may indicate security threats or attacks.
Detailed Explanation
Anomaly detection uses statistical and machine learning techniques to establish normal behavior patterns and identify deviations. It can detect both known and unknown threats by recognizing patterns that differ from expected behavior often using unsupervised learning approaches.
Use Cases
Network security monitoring Fraud detection System health monitoring Insider threat detection
