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Network Anomaly Detection

Detecting unusual network behavior, traffic that deviates from baselines, rare destinations, atypical volumes or patterns, on the premise that abnormality often indicates malicious activity. A core network-detection technique.

Network anomaly detection finds traffic that does not match learned normal behavior: a host suddenly contacting many new destinations, beaconing patterns, atypical traffic volumes or protocols, or unusual data transfers. Built on baselines and statistical or behavioral models against network telemetry, it catches attacks that don't match known indicators by their behavior. As a detection-engineering category, it complements signature-based methods and is central to spotting novel command-and-control, exfiltration, and lateral movement.

Introduced in: Detection Engineering

Examples

  • Flagging a host suddenly contacting many new external destinations.
  • Detecting unusual outbound data volume as possible exfiltration.
  • Spotting a beaconing pattern that deviates from normal.