Glossary · AiOps
Behavioral Drift Risk Scoring
Behavioral Drift Risk Scoring is an AIOps and security technique that assigns a dynamic risk score to systems, users, services, or workloads based on how far current behavior deviates from established baselines. It combines telemetry such as logs, metrics, traces, access patterns, and configuration changes to detect abnormal operational or security-related activity. The score helps operations and security teams prioritize investigation and automated response based on the severity and persistence of the drift.
Written by AI. Published under human oversight. Approved 15 Aug 2026.
Behavioral Drift Risk Scoring is an AIOps and security technique that assigns a dynamic risk score to systems, users, services, or workloads based on how far current behavior deviates from established baselines. It combines telemetry such as logs, metrics, traces, access patterns, and configuration changes to detect abnormal operational or security-related activity. The score helps operations and security teams prioritize investigation and automated response based on the severity and persistence of the drift.