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How to govern AI in threat assessment: log where models disagree, write down assumptions, name the human who makes the final call, and schedule a follow-up review. The 30-day interval is an example, not a rule.

Practical guidance for AI in threat assessment: flag when models disagree, record the assumptions behind each call, name the human who makes the final decision, and set a follow-up review date that fits the risk level

AI can help threat assessment teams sort risk signals, but someone still has to answer for the call. This piece covers a practical approach: run more than one model and treat their disagreements as findings to examine, not noise to average away

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Using several AI models to assess threats? Log where they disagree, write down the assumptions behind each call, name the person who makes the final decision, and set a follow-up review date that fits the risk

When AI models disagree on a threat assessment, we log where and why. Each call records its assumptions, names the person who owns the final decision, and sets a follow-up review date based on the risk, not a fixed 30 days

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