When AI models disagree on a threat assessment, who decides? This approach logs each model's view, records the assumptions behind it, names the human who signs off, and schedules a follow-up review. The review timing depends on the case
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This guide covers how to govern AI use in threat assessment without overstating what the tools know
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Using AI to help assess threats only works if someone can explain the result later. Our approach logs every case where two or more models disagree on a risk rating, instead of averaging the answers away
Running more than one AI model on a threat assessment often shows where they disagree, and that disagreement is worth recording
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**Long version (60-90 words):** Threat assessment teams are starting to use AI models to help sort risk signals, and the hard part is governing how those tools get used