When More Means Less: The Counterintuitive Case for Shrinking Your Threat Intelligence Database
Enterprise security teams have long operated under the assumption that a larger blacklist equals stronger protection — a belief that mounting evidence now challenges. As threat databases balloon with redundant, stale, and low-fidelity entries, the signal-to-noise problem quietly degrades the very defenses organizations depend upon. This article examines the frameworks, case studies, and selection criteria that distinguish lean, effective threat intelligence from the bloated databases undermining