Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

Understand

AI agents are beginning to interact with each other directly and across internet platforms and physical environments, creating security challenges beyond traditional cybersecurity and AI safety frameworks.

• Free-form protocols are essential for AI's task generalization but enable new threats like secret collusion and coordinated swarm attacks.
• Network effects can rapidly spread privacy breaches, disinformation, jailbreaks, and data poisoning, while multi-agent dispersion and stealth optimization help adversaries evade oversight - creating novel persistent threats at a systemic level.
• Despite their critical importance, these security challenges remain understudied, with research fragmented across disparate fields including AI security, multi-agent learning, complex systems, cybersecurity, game theory, distributed systems, and technical AI governance.