Authors:Christian Schroeder de Witt, Klaudia Krawiecka, Igor Krawczuk, Ben Hagag, William L. Anderson, Peter Belcak, Ben Bucknall, Xiaohong Cai, Ayush Chopra, Doron Cohen, Ron F. Del Rosario, Andis Draguns, Annie Gray, Keren Katz, Vasilios Mavroudis, Jaron Mink, Sumeet Ramesh Motwani, Jonathan Petit, Leif-Sebastian Rembeck, Chandler Smith, John Sotiropoulos, Steven Young, Sarah Scheffler, Mary Llewellyn
Abstract: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. We introduce multi-agent security, a new field dedicated to securing networks of AI agents against threats that emerge or amplify through their interactions - whether direct or indirect via shared environments - with each other, humans, and institutions, and characterise fundamental security-utility and security-security trade-offs across both distributed and decentralised settings. Our preliminary work (1) taxonomizes the threat landscape arising from interacting AI agents, (2) offers applications to multi-agent security for work across diffuse subfields, and (3) proposes a unified research agenda addressing open challenges in designing secure agent systems and interaction environments. By identifying these gaps, we aim to guide research in this critical area to unlock the socioeconomic potential of large-scale agent deployment, foster public trust, and mitigate national security risks in critical infrastructure and defense contexts.
| Subjects: | Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2505.02077 [cs.CR] |
| (or arXiv:2505.02077v2 [cs.CR] for this version) | |
| https://doi.org/10.48550/arXiv.2505.02077 arXiv-issued DOI via DataCite |
Submission history
From: Christian Schroeder de Witt [view email]
[v1]
Sun, 4 May 2025 12:03:29 UTC (7,955 KB)
[v2]
Wed, 29 Apr 2026 10:47:33 UTC (4,900 KB)