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安全扫描触发时机上的决策模型横评:Jev 1.14 与 Decider 领先

Corridor 把 Jev 用于门控安全扫描,并与 OpenAI、微软、Perplexity 等决策模型同台对比,Jev 1.14 和 Decider 在各预算下表现最好。

Corridor
@corridor13 天前收录原推发布于 2026.10.17
Corridor @corridor原推发布于 2026.10.17
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We recently demonstrated that TypeSafe’s Jev could be used to gate when our security scan should be run. Since then, OpenAI, Microsoft, Perplexity, and a dozen others shipped decision models of their own. So we ran all of them through the same benchmark for this task. The top two models are Perplexity's Decider and TypeSafe's Jev 1.14. At any budget for latency, cost, or precision, Decider or Jev catches the most vulnerable posts. The rest are at or below the performance of an LLM gate. Full results and the dataset in our latest post: https://www.corridor.dev/blog/decision-models-benchmark

x.com/corridor/status/2111184416974295144采集于 2026.10.17 10:06