What question did this study set out to answer?

To establish a governance framework for regulated AI systems that ensures compliance and mitigates risks.

April 22, 2026Open Access

PCT/Ib2026/051489 Policy-Enforced Swarm Governance Architecture for Regulated AI Systems

Key Points

To establish a governance framework for regulated AI systems that ensures compliance and mitigates risks.
Developed a policy-bound trajectory generator for goal execution in AI swarms
Implemented cryptographically sealed policy elements for secure modification
Introduced a compliance deviation monitor for real-time policy tracking
Demonstrated reduced risks of unauthorized goal expansion in AI agents
Achieved real-time compliance monitoring across multiple units
Provided a foundational structure for safe AGI operations within regulations

Abstract

5281/zenodo.19665339 POLICY-ENFORCED SWARM GOVERNANCE ARCHITECTURE FOR REGULATED AI SYSTEMS (Commercial Name: The Regulator of AI Systems) This technical disclosure presents a comprehensive architecture for the deterministic governance of multi-agent AI swarms in regulated environments. The system introduces a structural separation between goal generation and execution, mitigating the risk of unauthorized terminal goal expansion in autonomous agents. Core Technological Components: Policy-Bound Trajectory Generator: Translates high-level instructions into execution paths constrained by predefined ethical and operational invariants. Invariant Nodes: Cryptographically sealed policy elements within a policy graph requiring multi-signature quorum authorization for modification. Compliance Deviation Monitor: Real-time calculation of cross-unit variance and deviation from expected policy execution distributions. Enterprise Governance Layer: Immutable audit logging and automated rollback mechanisms for mission-critical deployments. Strategic Context: This architecture serves as a foundational technical implementation of the General Coherent Field Theory (G-CFT). It provides the "Governed Constraints" layer necessary for long-life AGI systems to operate safely within human-centric legal and financial frameworks. Commercial Status: This document represents the official PCT application (WIPO 2026). The technology is available for licensing, integration, and acquisition by strategic partners in AI Safety, Defense, and Fintech sectors. Keywords & Hashtags: #AISafety #SwarmIntelligence #AIRegulation #TheRegulator #GCFT #EnterpriseAI #DeterministicAI #WIPO #PCT2026 #Compliance #AGI #StabilityControl #Palantir #XAI #GeneralDynamics #ZEDArchitecture

PCT/Ib2026/051489 Policy-Enforced Swarm Governance Architecture for Regulated AI Systems

Key Points

Abstract

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