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
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**Full blurb (89 words):** Threat assessment teams are starting to use AI models to help sort reports, but the output alone is not a decision
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AI can flag threats faster, but it shouldn't decide alone. Learn how to compare outputs across multiple models, record the assumptions behind each call, name the person accountable for the outcome, and set a follow-up review that fits your risk.
**Main blurb (83 words):** Running more than one AI model on the same threat assessment shows you where they disagree, and that's often the most useful part
Using several AI models to assess threats? Log where they disagree, document your assumptions, name the person who makes the final call, and schedule a follow-up review. The 30-day cadence is just an example. Pick the interval that fits your risk
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Using AI in threat assessment? Log where models disagree, write down the assumptions behind each call, name the human who makes the final decision, and set a follow-up review date that fits your risk level, not a default
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