Why is no one talking about maintenance in detection engineering?

This blog advocates for making maintenance a first-class part of detection engineering, mapping classic software maintenance categories—corrective, adaptive, perfective, and preventive—to detection-as-code workflows and illustrating each with practical examples. It argues that maintenance is essential yet undervalued, highlights the paradox that few teams publicly discuss it, and calls for shared methodologies, metrics, and maturity models to improve tuning, documentation, and resilience of detections across environments.