Blockchain based Privacy Solutions Brokered with AI for Data Compliance

Abstract

This paper introduces an AI based Privacy Broker (AIBPB), a unified framework that combines blockchain, zero knowledge proofs, attribute based encryption, and differential privacy to enable verifiable and compliant data sharing in regulated environments. The system automatically interprets high level policies such as GDPR, HIPAA, and CCPA, and synthesizes optimized proof strategies through a multi objective cost privacy model. The architecture blends off chain cryptographic computation with on chain verification to balance privacy and transparency. Simulation based experiments demonstrate a 3.2 times improvement in proof generation latency, a 7.8 times reduction in information disclosure, and regulatory satisfaction rates exceeding 95% compared to baseline approaches. The results show that AI driven proof orchestration can significantly enhance scalability, compliance automation, and privacy protection in blockchain based systems.