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Our security model scored 98–100% on action checks in validation. A few hand-written scenes exposed the gap.

One thing we documented while evaluating Wolf Defender Jev was the difference between our validation results and a few simple agent scenes written by hand. I’m part of the Patronus team. The model takes a scene, a question and possible answers, so we can ask separate questions about injected instru…

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  1. 2026-10-13 10:50 · r/learnmachinelearning
    Our security model scored 98–100% on action checks in validation. A few hand-written scenes exposed the gap.

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