Detection-as-code is the practice of treating security detections like software. Rules, queries, parsers, and logic are stored in version control, reviewed through pull requests, tested in staging or against historical telemetry, and then deployed in a repeatable way. Instead of editing alerts manually in a console, teams manage detections with the same discipline used for application code.
This matters because detection logic changes often as attackers adapt their tools, infrastructure, and behavior. With detection-as-code, defenders can track who changed a rule, compare revisions, roll back bad updates, and automate deployment across SIEM, EDR, cloud, or identity platforms. In real operations, this helps turn threat intelligence or new attack patterns into validated detections faster, while reducing noisy alerts and configuration drift. It also creates a clearer audit trail for how a detection was built, tested, and approved.