Anomaly Detection

Definition

Anomaly detection is the continuous monitoring of system behavior to identify patterns that deviate from established baselines, often signaling failures, attacks, or capacity issues before they become outages. Modern anomaly detection combines statistical thresholds, machine learning models, and operator-defined rules to surface meaningful deviations while filtering out noise. VEMIO™ uses anomaly detection across latency, throughput, packet loss, and configuration drift signals to alert operators minutes or hours before users feel impact.