In this part, we focus on implementing validation checks to improve consistency and ensure a minimum level of quality within the detection repository. Setting up validation pipelines is a key step, as it helps enforce the defined standards, reduce errors, and ensure that detections are reliable and consistent.

This is the second part of the Practicing Detection-as-Code series, where we will cover some basic elements of designing a repository to develop, store, and deploy detections from. We'll go through several different aspects of the setup like the Git platform, branch strategy, repository structure, detections structure, taxonomies, and content packs.