Detection engineering relies fundamentally on the telemetry data captured across infrastructure and applications. Security teams cannot write, test, or refine detection rules unless the underlying log events exist, establishing log selection and coverage as a prerequisite for building security detections.
High-Value Sources for Security Telemetry
Effective visibility relies on specific log categories that capture key system activities. Authentication outcomes from identity providers and remote access connections form the foundation for tracking unauthorized access. Monitoring account changes—such as administrative role assignments, modified credentials, and altered federation settings—reveals how attackers maintain persistence. Cloud control plane logs record modifications to storage policies, roles, and security groups, while Kubernetes audit logs track pod execution, object creation, and admission configuration changes. Endpoint process creation and network flow metrics fill remaining operational visibility gaps once workloads are running.
Structural Requirements for Usable Logs
Log events must contain specific contextual attributes to remain functional during an investigation. Each usable log record needs to clearly identify the actor, action, target, and outcome, while supporting identity correlation across different operational platforms. Time synchronization is also essential; timestamps that lack timezone awareness risk corrupting event ordering during incident analysis. Storage retention periods present another critical constraint, as many compromises are identified weeks after initial activity, rendering short 30-day retention windows insufficient for tracing the start of an intrusion.
Managing Alert Volume Without Reducing Visibility
Excessive alert volumes frequently impede security operations, but disabling rules to reduce noise removes critical security coverage. Rather than turning off detections, team workflows can enrich alerts with identity privilege levels and asset criticality metrics. High-context alerts can then be routed directly to incident responders, while lower-priority events are aggregated for broader analysis.
AI-generated editorial illustration; not a documentary photograph.
Source: Detection Engineering Starts With the Logs You Decided to Keep
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