MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security
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Abstract (arXiv)
Our computing ecosystem is being transformed by two emerging paradigms: the increased deployment of agentic AI systems and advancements in quantum computing. With respect to agentic AI systems, one of the most critical problems is creating secure governing architectures that ensure agents follow their owners' communication and interaction policies and can be held accountable for the messages they exchange with other agents. With respect to quantum computing, existing systems must be retrofitted and new cryptographic mechanisms must be designed to ensure long-term security and quantum resistance. In fact, NIST recommends that standard public-key cryptographic algorithms, including RSA, Diffie-Hellman (DH), and elliptic-curve constructions (ECC), be deprecated starting in 2030 and disallowed after 2035. In this paper, we present MAGIQ, a framework for policy definition and enforcement in multi-agent AI systems using novel, highly efficient, quantum-resistant cryptographic protocols with proven security guarantees. MAGIQ (i) allows users to define rich communication and access-control policy budgets for agent-to-agent sessions and tasks, including global budgets for one-to-many agent sessions; (ii) enforces such policies using post-quantum cryptographic primitives; (iii) supports session-based enforcement of policies for agent-to-agent and one-to-many agent sessions; and (iv) provides accountability of agents to their users through message attribution. We formally model and prove the correctness and security of the system using the Universal Composability (UC) framework. We evaluate the computation and communication overhead of our framework and compare it with the state-of-the-art agentic AI framework SAGA. MAGIQ is a first step toward post-quantum-secure solutions for agentic AI systems.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 57 references that are in the map. First posted on arXiv 7 May 2026.
Builds on
11 of 57 references.
References · 11
- 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
- 2024Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fastcited by 149
- 2025Red-Teaming LLM Multi-Agent Systems via Communication Attackscited by 118
- 2024MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debatecited by 54
- 2025SAGA: A Security Architecture for Governing AI Agentic Systemscited by 45
- 2026Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI Agentscited by 18
- 2026Runtime Governance for AI Agents: Policies on Pathscited by 17
- 2026Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANPcited by 14
- 2025Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents?cited by 8
- 2026Beyond Context Sharing: A Unified Agent Communication Protocol (ACP) for Secure, Federated, and Autonomous Agent-to-Agent (A2A) Orchestrationcited by 2
- 2026AITH: A Post-Quantum Continuous Delegation Protocol for Human-AI Trust Establishmentcited by 1
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Citing papers per year: 2026: 2.
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- 2026Cryptographic certificates of validity for trustworthy AI
- 2026Lowering the implementation barrier of neutral-atom quantum computing with agentic workflows
- 2026Extending the Formalism and Theoretical Foundations of Cryptography to AI
- 2026The Prover Is the Judge: Verified Security Software from AI Coding Agents in Ada/SPARK
- 2025AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration