Cross-domain Multi-agent LLM Security
Arxiv
pdf
2025-05-01T00:00:00
arXiv Paper — PDF not available.
Only the Executive Summary is available here. To read or download the full paper, visit the
arXiv abstract page.
Abstract
Large language models are evolving into autonomous agents that collaborate across organizations for tasks like disaster response and supply-chain optimization. However, such cooperation breaks unified trust assumptions: a benign agent may leak secrets or violate policy when interacting with untrusted peers. This paper maps the security agenda for cross-domain multi-agent LLM systems, introducing seven categories of novel challenges alongside plausible attacks, evaluation metrics, and research directions.
Loading executive summary...