AEGIS: A Constitutional Governance Architecture for Autonomous AI Agents

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Authors: Kenneth A. Tannenbaum
Cited by: 2

Abstract

Autonomous AI agents increasingly execute consequential actions against operational infrastructure. This paper presents AEGIS, a constitutional governance architecture that enforces deterministic policy at the agent action boundary — post-reasoning, pre-execution. AEGIS satisfies Anderson's reference monitor properties, aligns with all four functions of the NIST AI Risk Management Framework, and introduces a decentralized federation model for cross-organizational governance intelligence sharing. Submitted to IEEE Computer, Special Issue on AI Governance and Compliance.

Fields of Study & Subjects

Access Control and Trust Multi-Agent Systems and Negotiation Ethics and Social Impacts of AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 March 2026
Document type
Preprint