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Correlation Detection

A detection technique that combines multiple events or signals, across logs, hosts, or time, to identify a threat that no single event would reveal, such as a failed-login burst followed by a success and unusual data access.

Many attacks are invisible in any one event but obvious when events are linked: a sequence, a combination across data sources, or a pattern over time. Correlation detection joins these signals, often in a SIEM, to fire when the combination indicates malicious activity. It catches multi-step behavior that single-event rules miss, but it requires good telemetry and careful tuning to avoid both noise and missed correlations.

Introduced in: Detection Engineering

Examples

  • Alerting when failed logins are followed by a success and then unusual access.
  • Linking an endpoint alert with a network connection to confirm an intrusion.
  • Correlating events across hosts to reveal lateral movement.

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