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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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**Main version (60-90 words):** Threat assessment teams are starting to use AI models to help sort risk signals, and the governance question is who answers for the result

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Insurance adjusters tasked evaluating damages incurred assessing claims submitted ensure payouts align st

When AI models disagree on a threat assessment, log the gap, record the assumptions behind each call, and name the person who signs off. Set each follow-up review date based on the risk level

Running several AI models on the same threat assessment often shows where they disagree. We log each model's assumptions, name the person who owns the final call, and set a follow-up review date that fits the case.

A practical look at governing AI in threat assessment work