Multi-Agent System Security

Overview

Multi-agent system security examines how agents can attack, mislead, or compromise one another, and how local failures can spread through communication, shared memory, delegated tools, or coordinated decisions. Work studies threats such as prompt injection, collusion, Byzantine behavior, memory poisoning, information leakage, and cascading errors, using settings from language-model workflows and debate to multi-agent reinforcement learning and robot swarms. Defenses include trust and reputation systems, provenance and authorization controls, runtime monitoring, semantic information-flow checks, and cryptographic protocols; benchmarks increasingly test different architectures, interaction paths, and long-horizon tasks. A central challenge is that safeguards effective for individual agents may not compose at system level, while stronger controls can reduce task performance or miss attacks that emerge only through multi-agent interaction.

Latest papers

CardsList

181 papers29 papers in the last four weeks, up 12% on the four weeks before. 0.2% of all new papers.

  1. Who Else Is In? Multi-Agent Collusion Initation Via Strategic Vagueness

    Oct 27, 2026Pramod Kaushik, Sarath Sivaprasad, Laura Ferrarotti +4Multi-Agent System SecurityMulti-Agent LLM Systems

  2. Securing Edge & Physical AI: Post-Quantum IoT Blockchain for Mission-Critical Cyber-Physical Agents

    Oct 24, 2026Kürşat Çakal, Suat ÖzdemirCPS SecurityMulti-Agent System Security

  3. Secure Agentic AI and Multimodal Intelligence in 6G Communication Systems

    Oct 21, 2026Satyam Gaba, Devanshu Motwani, Siva Sai +3AI Agent SecurityMultimodal Agents

  4. Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning

    Oct 20, 2026Yuqi Jia, Hangsheng Zhang, Chenxi Liu +2LLM Red TeamingBlack-Box Adversarial Attacks

  5. The Show-Up Attack: When Subagents Win Over Their Supervisor

    Oct 20, 2026Maosen Zhang, Jianshuo Dong, Yutong Zhang +3LLM Agent SecurityMulti-Agent System Security

  6. Vulnerability Analysis for Safe Multi-Agent Reinforcement Learning

    Oct 19, 2026Taozheng Zhu, Shixiong Jiang, Fanxin KongAdversarial AttacksAdversarial MARL

  7. Red-Teaming Multi-Agent Attacks for Loss-of-Control Risks

    Oct 16, 2026John Kitaoka, Thao Amelia Pham, Carlos Rafael Giudice +1AI Agent SafetyMulti-Agent System Security

  8. Cryptographically Secure Agent-to-Agent Communication in Multi-Agent Systems

    Oct 16, 2026Karol Budzyn, Adrian Brodzik, Mateusz SzczepkowskiMulti-Agent System SecurityMulti-Agent Communication

  9. StepSafe: Learning Timely Intervention with Context-Aware Safety Reasoning

    Oct 14, 2026Siyi Gu, Kunhan Gao, Chao Peter Yang +3AI Agent SafetyLLM Agent Safety

  10. Agent-Canary-Mas: End-to-End Evaluation of Protocol Risk in Long-Horizon Multi-Agent Systems

    Oct 11, 2026Xiuming Liu, Le Gai, Zhiyuan Chang +4Multi-Agent System SecurityAI Agent Security Benchmarks

  11. Where Rules End and Judges Begin: Measuring the Judgment Boundary in Multi-Agent Systems Security

    Oct 6, 2026Shaswata Mitra, Raj Patel, Subash Neupane +3Multi-Agent LLM SystemsMulti-Agent System Security

  12. Topology-Conditioned Backdoors: Language Models That Insert Vulnerabilities When They Infer They Are in a Multi-Agent System

    Oct 5, 2026Keegan Wang, Anantika MannbyLLM Backdoor AttacksAI Agent Auditing

  13. Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement

    Oct 5, 2026Shovan Roy, Lopamudra Praharaj, Maanak Gupta +1AI Agent SecurityMulti-Agent System Security

  14. Can CaMeLs Talk? Securing Multi-Agent Systems Against Indirect Prompt Injection Attacks

    Oct 5, 2026James Peters-Gill, Avi Semler, Henning Bartsch +2AI Agent Security BenchmarksInformation Flow Control

  15. Trust-Gated Capability Control: Breaking the Trust-Vulnerability Paradox in Multi-Agent LLM Systems

    Oct 4, 2026Mehedi Hasan Nipu, Chinmoy Mitra, Tarannum Ahmed Nowshin +1Trust in AIMulti-Agent System Security

  16. Lie Rarely, Lie Big: Stealthy Insider Attacks on LLM Robot Teams

    Oct 3, 2026Sribalaji C. Anand, George J. PappasMulti-Agent System SecurityAI Agent Security

  17. Resilient Multi-Agent Target Localization and Tracking via BAG-Aware Mutual Information Maximization under False Data Injection Attacks

    Oct 2, 2026Bibek Adhikari, Samrat Chaulagain, Kamesh SubbaraoMulti-Agent System SecurityFalse Data Injection Attacks

  18. HASTE: Evolving Agent Harnesses Against Emerging Attacks Using Sparse Evidence

    Oct 2, 2026Xiqiao Xiong, Moxin Li, Zhixin Ma +4LLM Agent SafetyAgent Harness Optimization

  19. MIRROR: Multipath Quorum Integrity for LLM Multi-Agent Communication

    Oct 1, 2026Ryuichi Yamafuji Lun, Jingzhen Wang, Shreyas Kolte +1Multi-Agent System SecurityMulti-Agent Communication

  20. Memetic Trojans: Social Contagions as Carriers of Adversarial Payloads in Agent Networks

    Sep 30, 2026Birk Torpmann-Hagen, Finn Schwall, Leon MoonenLLM Agent SecurityMulti-Agent System Security

  21. Safety of Latent Communication in Multi-Agent Systems

    Sep 30, 2026Muhammad Huzaifa, Sina Mavali, Thorsten EisenhoferMulti-Agent LLM SystemsAI Agent Safety

  22. MADBench: Benchmarking the Security of Multi-Agent Debate

    Sep 30, 2026Yuwan Liu, Jiaming Zhang, Yue Huang +1Adversarial Attacks on LLMsMulti-Agent Debate

  23. Deny Without Disabling: Authorization-Paired Evaluation and Control for Multi-Agent Systems

    Sep 30, 2026Yunbei Zhang, Saiyue Lyu, Janet Wang +4Multi-Agent CollaborationInformation Flow Control

  24. Covert Assistance: Helpful LLM Agents Evade Oversight in Multi-Agent Systems

    Sep 30, 2026Deema Alnuhait, Gengyu Wang, Muhammad Khalifa +1AI Agent SafetyMulti-Agent System Security

  25. VirusCascade: Hijacking Collaborative Reflection in LLM-Powered Recommender Agents

    Sep 29, 2026Yurong Hao, Wen Zhou, Guowei Guan +3Adversarial AttacksAgent Memory Poisoning

  26. Concealing LLM-Based Multi-Agent Topology via Phantom Structure Injection

    Sep 29, 2026Longzhu He, Zelang Wen, Xinfeng Li +2Multi-Agent LLM SystemsMulti-Agent System Security