Confidential AI Prompt Sharing: A Block-chain Driven Framework for Secure Data Exchange

Abstract

The rapid rise of generative AI has made secure and scalable prompt engineering more important than ever. But there’s a catch — prompts often carry sensitive, proprietary, or regulated information, which brings real security and privacy risks. In response, our research presents a blockchain-powered framework designed for confidential prompt sharing. It brings together smart contracts, zero-knowledge proofs (ZKPs), and a hybrid consensus model that blends Proof-of-Stake with Byzantine Fault Tolerance (PoS-BFT). This combination doesn’t just enhance security — it also boosts energy efficiency, scalability, and resilience. When benchmarked against platforms like Ethereum and Hyperledger Fabric, our framework delivered lower latency, better performance, and strong reliability even under adversarial conditions. Plus, it’s built to work handin-hand with agentic AI workflows and decentralized identity systems, offering a flexible, futureready foundation for secure collaboration between AI agents.