When AI models help assess potential threats, the outputs need a paper trail. This guide shows how teams can run several models on the same case, record where they disagree, and write down the assumptions behind each conclusion
Threat assessment teams using AI need a paper trail. Learn how to compare outputs across multiple models, log where they disagree, write down assumptions before decisions, name the person who signs off, and set a follow-up review that fits the case
When AI models disagree on a threat assessment, that gap is worth examining. Our approach logs each model's reasoning, documents the assumptions behind each call, names the person who makes the final decision, and sets a follow-up review date
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
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