The Significance and Applications of FHE for AI
- Protecting Data Privacy: In the healthcare field, patient gene data, medical records, etc., can be encrypted for analysis without disclosing privacy, aiding disease research and drug development. In DeFi, it can protect users' transaction records and asset information, preventing data leakage and fraud. In gaming, players' personal information, game progress, etc., can be encrypted while still supporting statistical analysis of game data.
- Providing a Secure Computing Environment: FHE allows direct computation on encrypted data, providing a secure operating environment for AI agents, preventing data theft or tampering during computation. It can also enable identity verification of agents through homomorphic operations, ensuring that only legitimate agents can participate in system operations.
The Role of FHE in the Agentic World
- Building a Secure Foundation: In the Agentic World with millions of AI agents, FHE ensures the security of data during transmission, storage, and computation, preventing data leakage and malicious attacks. It provides encrypted channels for communication and collaboration among agents, ensuring the confidentiality and integrity of information transfer.
- Achieving Decentralized and Verifiable Computing: FHE supports decentralized AI computing, allowing agents to collaborate in an encrypted state without relying on centralized servers. Through homomorphic encryption technology, the computation results of agents can be verified, ensuring the correctness and reliability of computations, and preventing agents from providing false results.
The Role of FHE in the Combination of AI and Blockchain
- Ensuring Secure Collaboration: When AI and blockchain are combined, FHE can provide security guarantees for multi-chain collaboration, ensuring the security of data interaction and computation across different chains. In the consensus mechanisms among agents, FHE can encrypt data during the consensus process, preventing tampering with consensus information and ensuring the fairness and reliability of the consensus.
- Meeting Security Needs: FHE and 'end-to-end encryption' are essential requirements for the integration of AI and blockchain, preventing data theft or tampering throughout the entire transmission and processing process, thus protecting user privacy and data security.
The Significance of FHE for Future Vision
- Promoting DeCC Development: FHE provides core technical support for decentralized confidential computing, enabling data to be processed in an encrypted state, enhancing the security and privacy of computation.
- Supporting the Construction of HTTPZ: When building the zero-trust internet protocol HTTPZ, FHE can ensure data security during transmission and processing, establishing trustworthy standards for the Web3 and AI ecosystem.
