Seven security challenges in cross-domain multi-agent LLM systems

Key Points

• The aim is to outline specific security challenges faced by multi-agent systems using large language models in cross-domain contexts.
• Introduces seven categories of security challenges for cross-domain multi-agent LLM systems.
• Explores potential attacks and evaluation metrics relevant to these challenges.
• Suggests research directions to address identified security concerns.
• Identified seven novel security challenges such as trust leakage and policy violations.
• Mapped plausible attack scenarios against collaborative agents.
• Developed evaluation metrics to assess security in multi-agent interactions.