Security Considerations for Multi-agent Systems
Multi-agent artificial intelligence systems or MAS are systems of autonomous agents that exercise delegated tool authority, share persistent memory, and coordinate via inter-agent communication. MAS introduces qualitatively distinct security vulnerabilities from those documented for singular AI models. Existing security and governance frameworks were not designed for these emerging attack surfaces. This study systematically characterizes the threat landscape of MAS and quantitatively evaluates 16 security frameworks for AI against it. A four-phase methodology is proposed: constructing a deep technical knowledge base of production multi-agent architectures; conducting generative AI-assiste...
| Authors | Tam Nguyen, Moses Ndebugre, Dheeraj Arremsetty |
|---|---|
| Primary category | cs.CR |
| Published | 9 March 2026 |
| Last updated at source | 26 April 2026 |
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