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papersTODAY 04:00 UTC

arXiv paper proposes automating attack graph construction for agentic pentesting

A new arXiv preprint describes a neuro-symbolic approach to building logic attack graphs for autonomous penetration-testing agents. The authors argue that symbolic tools like MulVAL provide auditable attack-path reasoning that LLM-based agents currently lack, but note that adapting such frameworks to modern security pipelines and agentic workflows remains a challenge. The work is categorized under cs.AI as a cross-list submission.

arXivMulVALLLM-based agentsagentic pentestingattack graphsneuro-symbolic AI

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIAutomating Attack Graph Construction for Agentic Pentesting. Towards Neuro-Symbolic Vulnerability Hunting ↗TODAY 04:00 UTC

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