# PROVISO: Provenance-Informed Action Selection for Secure LLM Agents

**Published:** October 21, 2026
**Author:** Bo Yan, Qi Zhang, Ziwen Kan, Fnu Suya, Song Wang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/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…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.27115)

**Tags:** #arXiv

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