Detection engineering at scale: one step closer (part three)

### Executive summary This blog post concludes a three-part series on detection engineering, outlining a continuous improvement loop that includes KPI monitoring (false positive/rejection rates), Grafana dashboards for temporal and rejection-rate analysis, push notifications for rule subscriptions, on-demand detection labs for testing, and examples of rule tuning and observed improvements in rejection rates; it is operational guidance and does not describe a security incident or specific threats.