MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security

Fuente: arXiv
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Main Authors: Avizheh, Sepideh, Mallick, Tushin, Oprea, Alina, Nita-Rotaru, Cristina, Safavi-Naini, Reihaneh
Format: Preprint
Published: 2026
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author Avizheh, Sepideh
Mallick, Tushin
Oprea, Alina
Nita-Rotaru, Cristina
Safavi-Naini, Reihaneh
author_facet Avizheh, Sepideh
Mallick, Tushin
Oprea, Alina
Nita-Rotaru, Cristina
Safavi-Naini, Reihaneh
contents 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.
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id arxiv_https___arxiv_org_abs_2605_06933
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security
Avizheh, Sepideh
Mallick, Tushin
Oprea, Alina
Nita-Rotaru, Cristina
Safavi-Naini, Reihaneh
Machine Learning
Cryptography and Security
Multiagent Systems
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.
title MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security
topic Machine Learning
Cryptography and Security
Multiagent Systems
url https://arxiv.org/abs/2605.06933