Detection Engineering: Practicing Detection-as-Code – Validation – Part 3

The document outlines how to build automated validation pipelines in Azure DevOps to ensure quality and consistency in a Detection-as-Code repository. It details JSON schema validation for detection metadata and Sentinel rule files, KQL query syntax validation using Microsoft.Azure.Kusto.Language with pythonnet, automated URL and spelling checks, content pack schema and existence validation, and repository structure enforcement, all integrated with branch policies and build validation.