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PROVISO: Provenance-Informed Action Selection for Secure LLM Agents

📅 2026-10-21 | 📰 arXiv - AI Research Papers
#ai-news #proviso #provenance-informed #action

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...

Read more: https://arxiv.org/abs/2610.27115