AI governance for threat assessment: a plain look at how teams using more than one AI model handle disagreements between them
When several AI models assess the same threat report and disagree, this approach treats that gap as a finding, not a glitch. Each assessment records the assumptions behind it, so reviewers can see what was inferred and what was documented
When AI models disagree on a threat case, who makes the call? This piece covers a governance setup that runs several models on the same case, records where they diverge, and writes down the assumptions behind each output
Practical AI governance for threat assessment: when models disagree, log the reasoning, record the assumptions behind each call, name the person who makes the final decision, and set a follow-up review date you can keep. *(About 220 characters
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