How Dark Data Leaves Security Teams One Step Behind

This whitepaper-style article describes the problem of “dark data” — large volumes of collected threat intelligence that go unprocessed due to limited analyst capacity — illustrates the operational and financial consequences (missed alerts, longer dwell times, analyst burnout) using historical breach examples, and proposes approaches such as reducing signal volume and using agentic AI workflows to match intelligence scale with response scale.