Detection Engineering
Build effective detection capabilities. From IOC-based rules to behavioral analytics and hypothesis-driven hunting.
Detection Engineering Fundamentals: From IOCs to Behavioral Detection
Understand the detection engineering lifecycle — from indicator-based matching to behavioral analytics. Build detections that survive attacker adaptation.
Sigma Rules: Writing Vendor-Agnostic Detection Logic
Write Sigma rules that compile to Splunk, Elastic, and Sentinel queries. Standardize your detection logic across SIEM platforms.
Log Sources and Coverage: What You're Missing
Map your log sources against MITRE ATT&CK. Identify blind spots in your detection coverage and prioritize which logs to onboard first.
Tuning Detections: Reducing Alert Fatigue Without Losing Coverage
Systematic approaches to detection tuning — baselining, exception management, and metrics that tell you when tuning has gone too far.
Threat Hunting: Hypothesis-Driven Investigation
Structure threat hunts as testable hypotheses. Use ATT&CK-based hunt playbooks and convert successful hunts into automated detections.
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