Calibrated Decision Models for Autonomous Penetration-Testing Harnesses: JEV and Laya As System One Decision Layers for LLM-Driven Pentest Agents

Autonomous penetration-testing harnesses use large language models LLMs for reconnaissance, exploitation, and reporting, but often rely on those same models to confirm findings, grade severity, and select agents. This can lead to false positives, inflated severity, and wasted compute. We examine...