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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 or from external sou…

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  1. 2026-10-21 04:00 · arXiv cs.AI
    PROVISO: Provenance-Informed Action Selection for Secure LLM Agents

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