Fully Homomorphic Encryption (FHE), as the core technology of MindNetwork, is laying a secure and trustworthy foundation for the future of AI Agents. FHE allows direct computation on encrypted data, solving the privacy dilemma of AI processing sensitive data. In the medical field, FHE enables encrypted genetic data analysis across hospitals, ensuring patient privacy; in DeFi, FHE supports multi-party risk assessment, protecting transaction data from leakage; in the gaming industry, FHE can provide privacy protection for NFT asset transactions, preventing user preferences from being exposed. The key to these scenarios is that FHE can complete computations without decryption, fundamentally eliminating the risk of data exposure.
For AI Agents, FHE provides the necessary conditions for identity recognition, decentralized computing, and data protection. Through FHE, Agents can verify identity in a zero-trust environment, ensuring collaborative security; its decentralized consensus mechanism allows Agents to reach consensus without exposing logic; end-to-end encryption protects user privacy. In the vision of millions of Agents collaborating in AgenticWorld, security, privacy, and verifiability are core conditions. FHE ensures efficient collaboration of Agents in untrusted networks through encrypted consensus, computation verification, and end-to-end encryption, preventing tampering or leakage, becoming the cornerstone of trust.
The combination of AI and blockchain, especially in multi-chain collaboration and Agent consensus, relies on the secure infrastructure provided by FHE. FHE achieves cross-chain encrypted computation through MindChain and Chainlink CCIP, ensuring the security of Agent collaboration across different blockchains; its consensus mechanism allows Agents to maintain privacy when handling sensitive data such as finance and health. End-to-end encryption is necessary because traditional decryption computations pose a risk of data leakage, while FHE ensures that data is encrypted throughout transmission and processing, meeting the zero-trust environment's requirements for personal data authorization. FHE allows users to securely share identity, transaction, or preference data under clear conditions. For example, only through FHE encrypted computations can users confidently authorize medical AI to access health records, as the data remains invisible throughout, and authorization can be precisely controlled via private keys. FHE also promotes the vision of DeCC (Decentralized Confidential Computing) and HTTPZ (Zero Trust Internet Protocol), providing privacy protection for Web3 and quantum-resistant networks, leading the future of a decentralized and intelligent internet. MindNetwork, centered on FHE, is paving the way for a trust ecosystem for AI Agents.
