Learn how threat assessment teams log where AI models disagree, write down the assumptions behind each call, name the person who makes the final decision, and set a follow-up review date for each case.
This post walks through how threat assessment teams can use AI without handing it the decision. When several models disagree about a case, the disagreement gets logged and reviewed rather than averaged away
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
AI governance for threat assessment means keeping a clear record of how decisions get made. When multiple models disagree on a risk signal, that disagreement gets logged, not smoothed over
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