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Jev as a Red-Teaming Guardrail: Putting TypeSafe's Model to Work in AI Security

This story is from 2026-10-08. It is preserved in the archive; the latest stories are on the live feed.

We ran TypeSafe's Jev as a prompt guardrail on 1,580 red-teaming prompts against GPT-5-mini, Claude Haiku 4.5 and three open-source guard models. It was five to six times faster, 6–27× cheaper, and had the highest block accuracy of the hosted models. TypeSafe's Jev promises LLM-grade decisions at a…

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  1. 2026-10-08 11:03 · DEV Community — Machine Learning
    Jev as a Red-Teaming Guardrail: Putting TypeSafe's Model to Work in AI Security

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