Definition

Anomaly detection focuses on observing activity across systems and networks so that suspicious behaviour can be spotted quickly. It ties together logs, alerts and contextual information from many different tools.

With effective anomaly detection, security teams can detect threats earlier, investigate incidents more thoroughly and provide clearer evidence for audits and post‑incident reviews.

Used Cases

  • Building dashboards and alerts that highlight anomalies related to anomaly detection.
  • Improving incident response workflows using insights from anomaly detection.
  • Correlating events from multiple systems to strengthen anomaly detection outcomes.

FAQs

How does anomaly detection help security teams spot threats earlier?

Anomaly detection brings together events and context so suspicious activity stands out more clearly. This shortens the time between an attacker’s first action and the point where defenders react.

What information is typically collected to support anomaly detection?

Anomaly detection usually relies on logs, alerts, metrics and threat intelligence from many systems. Correlating these sources creates a fuller picture of what is happening across the estate.

How can organisations improve the effectiveness of anomaly detection?

To improve anomaly detection, organisations can tune alerts, reduce noise and document response playbooks. Regular exercises and reviews help ensure that teams know how to act on the insights they see.

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