What It Means When We Say “Security Is a Data Problem”

This article frames cybersecurity as a data and context challenge rather than a tooling gap, advocating focus on high‑value telemetry, early normalization and correlation, business context tagging, selective threat‑intel enrichment, hypothesis‑driven detections, and continuous feedback from investigations. It then outlines how Binary Defense’s MDR, detection engineering, SOC, hunting, and intelligence teams operationalize these principles to cut noise, add context, and iteratively improve detections and response.