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Detect (Cybersecurity Monitoring)

Cybersecurity Contexts Detect (Cybersecurity Monitoring) Anomaly & Behavior Detection Detection Engineering Logging & Telemetry SOC Monitoring & Alerting Threat Hunting Threat Intelligence Govern (Cybersecurity Governance) Identify (Cybersecurity Understanding) Protect (Cybersecurity Controls) Recover (Cybersecurity Recovery) Respond (Cybersecurity Incident Response)
Cybersecurity Contexts Detect (Cybersecurity Monitoring) Anomaly & Behavior Detection Detection Engineering Logging & Telemetry SOC Monitoring & Alerting Threat Hunting Threat Intelligence Govern (Cybersecurity Governance) Identify (Cybersecurity Understanding) Protect (Cybersecurity Controls) Recover (Cybersecurity Recovery) Respond (Cybersecurity Incident Response)
New to this diagram? Learn about the method: Use Case Tree · Use Case · Outcome

Detect ensures suspicious activity is discovered quickly and consistently by establishing the right telemetry, monitoring, detection content, and investigation triggers across the environment.

Detection is the bridge between preventative controls and effective response: it determines how quickly the business becomes aware of a threat.

Outcomes

  • Faster detection of attacks and misconfigurations
  • Higher-quality alerts with lower noise
  • Improved situational awareness for executives and service owners
  • Better prioritization of response actions based on impact

What this includes

  • Logging and telemetry strategy (coverage, quality, retention)
  • SOC monitoring and alerting (correlation, case management)
  • Detection engineering (rule lifecycle, validation, tuning)
  • Threat intelligence integration and enrichment
  • Threat hunting and proactive discovery
  • Anomaly and behavior-based detection

GenAI-enabled execution

Agents can assist with alert summarization, enrichment, and hypothesis-driven hunting, but must be constrained by approved detection logic, privacy requirements, and mandatory human review for containment actions.