Detection Engineering: Practicing Detection-as-Code – Introduction – Part 1

This post introduces Detection Engineering and a Detection-as-Code approach, mapping the Detection Development Life Cycle (requirements, design, development, testing/deployment, monitoring, continuous testing) to software engineering practices such as Git-based version control, PR reviews, automated testing/validation, CI/CD, standardized schemas, and reusable components. It highlights benefits—traceability, collaboration, consistency, quality, efficiency, scalability, and improved documentation—for both MSSPs and in-house SOCs, and previews the next part on designing and structuring a detection repository.