AI governance for threat assessment, in plain terms: where models disagree, which assumptions get written down, who signs off as the human decision-maker, and when the call gets revisited. A 30-day review is common, not universal
**Blurb (60-90 words):** When AI models help assess threats, a single confident answer can hide real uncertainty
This guide covers how to handle disagreement between AI models in threat assessments. Record the assumptions behind each assessment, name the person who makes the final call, and schedule a follow-up review
Run several AI models on the same threat assessment and log where they disagree. Every assumption gets written down, a named person owns the final call, and each case gets a follow-up review date based on its own risk level
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Run threat assessments through several AI models and log where they disagree. Record the assumptions behind each call, name the person who makes the final decision, and schedule a follow-up review on a set date
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