C2 Corner: Detection Doesn’t Fail First: Data Does

This report underscores that effective detection engineering and threat hunting rely on robust security engineering—particularly well-designed telemetry pipelines, normalized data, scalable storage, and CI/CD for detections—supported by close collaboration between teams. It highlights how engineering solves challenges like data quality gaps, alert fatigue, and slow queries through monitoring, filtering, and architectural optimization, and outlines emerging trends such as XDR consolidation, Zero Trust telemetry, and machine learning that further integrate and elevate detection capabilities.