Detection Engineering Is Broken: Here’s How You Fix It

This blog presents a four-phase detection engineering lifecycle for security teams: (1) build and prioritize a detection library with appropriate data sources and authors; (2) test and validate detections through syntax checks, data visibility, attack simulation, and operational validation; (3) deploy and orchestrate detections using at-storage and at-source strategies for scalability and low latency; and (4) measure and improve effectiveness by aligning to frameworks (e.g., MITRE ATT&CK), developing KPIs, and continuously refining rules. It emphasizes treating detection as an iterative engineering discipline and promotes orchestration to streamline deployment and response across environments.