What question did this study set out to answer?

The aim is to establish a comprehensive governance framework for autonomous AI agents using cryptographic methods.

March 21, 2026Open Access

Cryptographically Enforced Governance for Autonomous AI Agent Platforms and Universal LLM Control Plane Architecture

Key Points

The aim is to establish a comprehensive governance framework for autonomous AI agents using cryptographic methods.
Defined Cryptographically Enforced Autonomy Zones (CEAZ) with four graduated zones.
Developed Multi-Model Verified Consensus (MMVC) involving 17 professional domains.
Implemented Privacy-Preserving Communication Overlay (PPCO) for 13 messaging platforms.
Outlined principles for constitutional bounds verification and hallucination detection.
Proposed a unified control plane for large language models incorporating numerous patent claims.
Introduced mechanisms for compliance and cryptographic security in AI interactions.
Established a framework for enterprise API gateway deployment patterns.

Abstract

Defensive publication for U.S. Provisional Application No. 64/008,772 (120 claims, 8 figures, filed March 17, 2026; priority November 23, 2025) and the Y.I.N. GATEWAY Universal LLM Control Plane. Documents Cryptographically Enforced Autonomy Zones (CEAZ) with four graduated zones and Action Compliance Tokens, Multi-Model Verified Consensus (MMVC) with 17 professional framework domains and Cryptographic Consensus Certificates, and Privacy-Preserving Communication Overlay (PPCO) for 13 messaging platforms. The Y.I.N. GATEWAY combines claims from multiple existing patent applications into a unified control plane providing constitutional bounds verification, cryptographic hallucination detection, admissibility gates, SENTINEL binary checkpoints, and enterprise API gateway deployment patterns for any large language model. Distinguished from NVIDIA NemoClaw, Keycard AI, Assury MoCoP, and Cihon et al. Version 2.0 with implementation details reserved for USPTO applications. 34 USPTO filings, 3,320+ claims. Licensing: ilyesmazari@hotmail.com.

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Ilyes Tarik Mazari

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Cryptographically Enforced Governance for Autonomous AI Agent Platforms and Universal LLM Control Plane Architecture

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