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In this episode of Unspoken Security, AJ Nash and Faith MacGregor tackle the private sector's sloppy relationship with the word "intelligence" — the gap between raw data, contextual information, and verified, actionable intelligence — and how vendors, circular reporting, and fragmented disciplines like "cyber threat intelligence" have eroded that discipline. From there they turn to AI, weighing real utility against real danger: hallucinations that persist even with vetted sources, analysts pulled toward premature conclusions under time pressure, and the EY finding that roughly 40% of AI-generated conclusions had to be recalled. Nash's sharpest line - if a human analyst behaved this way, you'd fire them - sets up a back half that's cautiously optimistic, pointing to Recorded Future's human-curated, AI-assisted model as a template, while widening the lens to AI in government targeting decisions and the quiet brain drain hollowing out the intelligence profession.
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By Unspoken Security5
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In this episode of Unspoken Security, AJ Nash and Faith MacGregor tackle the private sector's sloppy relationship with the word "intelligence" — the gap between raw data, contextual information, and verified, actionable intelligence — and how vendors, circular reporting, and fragmented disciplines like "cyber threat intelligence" have eroded that discipline. From there they turn to AI, weighing real utility against real danger: hallucinations that persist even with vetted sources, analysts pulled toward premature conclusions under time pressure, and the EY finding that roughly 40% of AI-generated conclusions had to be recalled. Nash's sharpest line - if a human analyst behaved this way, you'd fire them - sets up a back half that's cautiously optimistic, pointing to Recorded Future's human-curated, AI-assisted model as a template, while widening the lens to AI in government targeting decisions and the quiet brain drain hollowing out the intelligence profession.
Send us Fan Mail
Support the show