Author

Joas Antonio dos Santos Barbosa

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#artificial intelligence Review Sep 2026

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 how System One decisi...

Joas Antonio dos Santos Barbosa · 5 citations · ⚡1

#artificial intelligence Preprint Sep 2026

From Capability to Assurance in Autonomous Penetration-Testing Harnesses: A Framework and Reference Implementation

This paper defines a framework of five assurance properties and claims an initial existence argument that the properties are realizable together, not a comparative performance result, and specifies the multi target, ablation, and adversarial evaluation protocol required to turn the framework obligations into measuremen...

Joas Antonio dos Santos Barbosa · 1 citation