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Detection Engineering

Cybersecurity Detect (Cybersecurity Monitoring) Anomaly & Behavior Detection Detection Engineering Logging & Telemetry SOC Monitoring & Alerting Threat Hunting Threat Intelligence
Cybersecurity Detect (Cybersecurity Monitoring) Anomaly & Behavior Detection Detection Engineering Logging & Telemetry SOC Monitoring & Alerting Threat Hunting Threat Intelligence
New to this diagram? Learn about the method: Use Case Tree · Use Case · Outcome

Build and maintain detection content as a managed lifecycle so monitoring stays effective as threats, systems, and business priorities evolve.

Detections are business decisions encoded into monitoring logic: what signals matter, what risk they represent, and what response they should trigger.

Outcomes

  • Higher-quality alerts with fewer false positives
  • Faster adaptation to new threats and business changes
  • Clearer coverage mapping from scenarios to detections
  • Measurable improvement in detection performance over time

Typical scope

  • Detection lifecycle (design, test, deploy, tune, retire)
  • Mapping detections to threat scenarios and critical services
  • Validation and testing practices (including regression checks)
  • Governance for changes (approvals, documentation, evidence)

GenAI-enabled execution

Agents can propose detection improvements, summarize rule changes, and assist with tuning recommendations—guardrailed by approved detection standards, privacy constraints, and human review before production impact.