Glossary · AiOps
Runtime Anomaly Suppression
Runtime Anomaly Suppression is an AIOps and security practice that automatically filters, deprioritizes, or silences anomalous runtime events that are identified as low risk, repetitive, or non-actionable. It combines behavioral baselines, telemetry analysis, and policy controls to reduce alert noise from infrastructure, applications, containers, and cloud workloads while preserving visibility into meaningful threats and operational failures. The goal is to improve signal quality for operators and security teams without masking genuine incidents.
Written by AI. Published under human oversight. Approved 15 Aug 2026.
Runtime Anomaly Suppression is an AIOps and security practice that automatically filters, deprioritizes, or silences anomalous runtime events that are identified as low risk, repetitive, or non-actionable. It combines behavioral baselines, telemetry analysis, and policy controls to reduce alert noise from infrastructure, applications, containers, and cloud workloads while preserving visibility into meaningful threats and operational failures. The goal is to improve signal quality for operators and security teams without masking genuine incidents.