Detection Engineering: Practicing Detection-as-Code – Repository – Part 2

This article outlines practical guidance for implementing Detection-as-Code, including selecting a Git platform, standardizing detection rule structure and metadata (e.g., YAML/JSON, taxonomies like MITRE ATT&CK and CAR), organizing repositories (detections, parsers, filters, content packs), and choosing an appropriate branching strategy (Trunk-Based, GitHub Flow, Gitflow, Environment Branching). It provides example repository layouts, content pack definitions, and considerations to balance simplicity, scalability, and CI/CD integration for effective detection engineering.