Detection Engineering Program - Part 1 - Overview
Updated: 8 hours ago
Detection engineering is the strategic process of designing, developing, and continuously improving security detections to identify and respond to cyber threats effectively. It involves crafting high-fidelity detection rules, signatures, and behavioral analytics tailored to an organization's threat landscape.
Key Components of Detection Engineering:
Analyze threats and identify detection gaps – Leveraging threat intelligence to anticipate and detect emerging attack techniques.
Identifying and Tracking Detections -
Detection Development – Writing rules and behavioral analytics for detecting known and unknown threats (e.g., YARA, Sigma, MITRE ATT&CK mappings).
Detection Testing & Validation – Continuously testing detections using adversary emulation (e.g., MITRE CALDERA, Atomic Red Team) to reduce false positives/negatives.
Detection Rollout
Detection Response – Enhancing security automation through SOAR and response playbooks to streamline investigations.
Detection Maintenance & Update -
AI in Detection Engineering
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