Advanced calculated metrics combining multiple data sources
Composite metrics combine multiple individual metrics to provide high-level insights into complex security states. They use weighted calculations, statistical analysis, and correlation to give a single actionable score.
Combines threat indicators, anomaly scores, and attack precursors to predict potential security incidents. Score of 0-100 where higher values indicate elevated risk.
Calculates overall risk to business services by analyzing availability, security posture, and threat exposure. Helps prioritize protection efforts.
Detects unusual privilege escalation patterns, excessive permissions, and identity-based risks. Highlights potential insider threats or compromised accounts.
Predicts likelihood of security incidents based on CMDB drift, configuration changes, and historical correlation. Enables proactive incident prevention.