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Logging & Telemetry

Cybersecurity Cloud Security Context OT/ICS Security Context SaaS Security Context Detect (Cybersecurity Monitoring) Anomaly & Behavior Detection Detection Engineering Logging & Telemetry SOC Monitoring & Alerting Threat Hunting Threat Intelligence
Cybersecurity Cloud Security Context OT/ICS Security Context SaaS Security Context 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

Establish consistent, trustworthy logging and telemetry so the business can detect threats, investigate incidents, and demonstrate control effectiveness without gaps or guesswork.

Logging and telemetry provide the evidence layer for security decisions: what happened, where, when, and who was affected. Without consistent telemetry, monitoring and investigations become slow and unreliable.

Outcomes

  • Reduced blind spots for critical services and data flows
  • Faster incident investigation with higher confidence in findings
  • Better audit evidence and control validation through reliable records
  • Clearer ownership of “telemetry gaps” with measurable improvement plans

Typical scope

  • Telemetry requirements by service criticality and data sensitivity
  • Collection, normalization, retention, and access governance
  • Integrity expectations for logs (tamper resistance, provenance)
  • Cost and performance management for telemetry at scale

GenAI-enabled execution

Agents can help identify telemetry gaps, draft remediation tasks, and produce incident timelines—guardrailed by approved data-access rules, privacy constraints, and traceable sources for every claim.