This research addresses critical security challenges in systems where multiple LLM agents work together, proposing frameworks for responsible AI development.

• Inherent Unpredictability: LLM agents exhibit unpredictable behaviors that can compound across interactions
• Governance Mechanisms: The paper proposes methods to mitigate security risks in multi-agent systems
• System Stability: Addresses how to maintain reliable operation despite the uncertainties in LLM outputs
• Responsible AI: Provides a foundation for building dependable LLM-based agent ecosystems

For security professionals, this research offers crucial insights into managing risks as LLMs become increasingly integrated into complex, multi-agent systems where cascading failures could have significant consequences.

Position: Towards a Responsible LLM-empowered Multi-Agent Systems