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April 22, 20260 citationsOpen Access

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

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SDSergey Dzhumaev

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

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Sergey Dzhumaev (2026) studied this question.

synapsesocial.com/papers/69e8656e6e0dea528dde9f6chttps://doi.org/10.5281/zenodo.19665339
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