Cryptographic AI Governance: A Zero-Knowledge Framework for Privacy-Preserving Compliance in the Edge Computing Era

Title: ZenoTrust™ Cryptographic AI Governance: The World’s First Zero‑Knowledge Compliance Index & Edge‑Optimized Audit Platform

Description:
ZenoTrust™ unveils a nine‑module cryptographic governance framework that reconciles regulatory transparency with absolute IP protection. Powered by a ≤ 20 KB zk‑SNARK compliance engine and a 22 ms, < 5 W edge audit kernel, the platform delivers real‑time, math‑verifiable proof of fairness, safety, and accountability without exposing models or data. Autonomous multi‑framework reasoning, privacy‑preserving explainability (ZK‑SHAP), and an edge‑tuned PBFT ledger align out‑of‑the‑box with the EU AI Act, NIST AI RMF, OECD principles, HIPAA, and emerging China AI rules. Benchmarks show 4–8× faster audits and up to 75 % reduction in compliance costs while maintaining full model confidentiality. This whitepaper also serves as a defensive publication for U.S. Provisional Patent No. 63/846,135.

Keywords: cryptographic AI governance, zero‑knowledge proofs, zk‑SNARK, edge compliance, privacy‑preserving audit, AI risk management, EU AI Act, NIST AI RMF, distributed ledger, autonomous multi‑framework reasoning

Author: Rohan Sharma  
Organization: Zenolabs.AI  
Date: July 21 2025  
Contact: rohan.sharma.press@gmail.com  
Website: www.rohansharma.net