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arXiv — cs.AI

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PROVISO: Provenance-Informed Action Selection for Secure LLM Agents

arXiv:2610.27115v1 Announce Type: new Abstract: LLM agents act on the external world through tools and third-party skills, so a single executed action can cause irreversible harm. Existing defenses judge a proposed action without tracking whether its content comes from the user…

arXiv — cs.AIBy: Bo Yan, Qi Zhang, Ziwen Kan, Fnu Suya, Song WangOctober 21, 2026 (yesterday)
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  • arXiv:2610.27115v1 Announce Type: new Abstract: LLM agents act on the external world through tools and third-party skills, so a single executed action can cause irreversible harm
  • Existing defenses judge a proposed action without tracking whether its content comes from the user…
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PROVISO: Provenance-Informed Action Selection for Secure LLM Agents

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