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News/AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents
arxiv
PublishedJuly 30, 2026 at 4:00 AM
—neutral

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2607.26998v1 Announce Type: cross Abstract: Large language model (LLM) agents automate penetration testing through an observation-action loop, selecting actions based on observations returned by tools. This dependence allows defenders to inject deceptive observations that can mislead the agent

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Discussion
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    LLM
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#security#deception#penetration-testing

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Mentioned models
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  • 01
    AgentSnare
  • 02
    LLM
Source
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arxiv
Read original ↗All from arxiv →
Tags
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#security#deception#penetration-testing
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