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Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems

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学术前沿 6.5 分 — Formal framework for agentic AI properties (safety/security/functionality), important as agent deployment grows
原文: cs.AI updates on arXiv.org

评分 6.5 · 来源:cs.AI updates on arXiv.org · 发布于 2026-04-17

评分依据:Formal framework for agentic AI properties (safety/security/functionality), important as agent deployment grows

arXiv:2510.14133v2 Announce Type: replace Abstract: Agentic AI systems, which leverage multiple autonomous agents and large language models (LLMs), are increasingly used to address complex, multi-step tasks. The safety, security, and functionality of these systems are critical, especially in high-stakes applications. However, the current ecosystem of inter-agent communication is fragmented, with protocols such as the Model Context Protocol (MCP) for tool access and the Agent-to-Agent (A2A) protocol for coordination being analyzed in isolation.