TrinityGuard:一个用于保障多智能体系统安全的统一框架 / TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems
1️⃣ 一句话总结
这篇论文提出了一个名为TrinityGuard的综合性框架,专门用于评估和监控基于大语言模型的多智能体系统的安全风险,它通过三层风险分类、可定制的测试模块和实时监控,帮助开发者在系统开发前和运行中发现并防范潜在威胁。
With the rapid development of LLM-based multi-agent systems (MAS), their significant safety and security concerns have emerged, which introduce novel risks going beyond single agents or LLMs. Despite attempts to address these issues, the existing literature lacks a cohesive safeguarding system specialized for MAS risks. In this work, we introduce TrinityGuard, a comprehensive safety evaluation and monitoring framework for LLM-based MAS, grounded in the OWASP standards. Specifically, TrinityGuard encompasses a three-tier fine-grained risk taxonomy that identifies 20 risk types, covering single-agent vulnerabilities, inter-agent communication threats, and system-level emergent hazards. Designed for scalability across various MAS structures and platforms, TrinityGuard is organized in a trinity manner, involving an MAS abstraction layer that can be adapted to any MAS structures, an evaluation layer containing risk-specific test modules, alongside runtime monitor agents coordinated by a unified LLM Judge Factory. During Evaluation, TrinityGuard executes curated attack probes to generate detailed vulnerability reports for each risk type, where monitor agents analyze structured execution traces and issue real-time alerts, enabling both pre-development evaluation and runtime monitoring. We further formalize these safety metrics and present detailed case studies across various representative MAS examples, showcasing the versatility and reliability of TrinityGuard. Overall, TrinityGuard acts as a comprehensive framework for evaluating and monitoring various risks in MAS, paving the way for further research into their safety and security.
TrinityGuard:一个用于保障多智能体系统安全的统一框架 / TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems
这篇论文提出了一个名为TrinityGuard的综合性框架,专门用于评估和监控基于大语言模型的多智能体系统的安全风险,它通过三层风险分类、可定制的测试模块和实时监控,帮助开发者在系统开发前和运行中发现并防范潜在威胁。
源自 arXiv: 2603.15408