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Navigating Security Risks in LLM-Driven Multi-Agent Systems: A Developer’s Guide
In recent months, we’ve witnessed an explosion of interest in multi-agent systems powered by LLM.
The excitement surrounding these systems stems from their impressive ability to decompose complex tasks and work collaboratively to address complex problems.
However, as developers rush to adopt and deploy MAS-based solutions, a critical aspect remains under-discussed: security.
Multi-agent systems introduce unique security challenges that go beyond those of single LLMs. By design, a multi-agent system consists of multiple LLM-powered agents interacting with each other, making autonomous decisions, accessing external data and tools, and possibly generating/executing code. All these aspects introduced expanded attack surfaces.
In this blog, let’s explore the security landscape of LLM-powered multi-agent systems through a practical lens. We aim to answer three questions:
- Why are multi-agent systems inherently vulnerable to cybersecurity attacks?
- What are the major attack vectors that exploit these vulnerabilities?
- How do these attacks manifest in real-world scenarios, and what impact can they have?
