In the digital age, data privacy and security have become core issues. Traditional encryption technologies can protect data transmission security, but they require decryption during computation, which can expose privacy. Fully Homomorphic Encryption (FHE), known as the 'holy grail of encryption', allows arbitrary computation without decrypting the data, achieving true end-to-end encryption. As a pioneer in this field, MindNetwork is bringing revolutionary changes to the Web3 and AI ecosystem through FHE technology. This report will delve into how MindNetwork is reshaping the future of AI using FHE technology.
MindNetwork's mission and vision
The core mission of MindNetwork is to build a fully encrypted internet infrastructure that ensures data remains encrypted throughout its entire lifecycle of transmission, storage, and computation through FHE technology. Its vision is to create a 'zero trust' digital world, where data owners have complete control over their information, while third parties can verify but cannot access the raw data. The project is dedicated not only to enhancing the security and privacy of Web3 but also sets new standards for trusted AI and encrypted on-chain data processing through the HTTPZ protocol (a zero trust internet protocol).
Partners and Investments
MindNetwork has gained support from prominent investors including Binance Labs, Hashkey, Animoca Brands, and Chainlink, and has been incubated through projects such as the Binance Incubation Program 5, Chainlink BUILD, and Ethereum Foundation grants. Its collaboration with industry leader Zama is particularly noteworthy, expanding into a Hybrid FHE AI network announced in February 2024, combining Zama's FHE technology library to ensure high performance and security in AI computation (X post). Additionally, MindNetwork has established deep partnerships with projects such as IO.net, MyShell, Bittensor, AIOZ, and Nimble AI, providing security and privacy solutions for Chainlink CCIP, serving the estimated $5 trillion real-world assets (RWA) market by 2030 (according to CitiBank's forecast).
It is worth mentioning that MindNetwork is the first FHE project officially integrated into the DeepSeek codebase, further enhancing its application potential in the AI field.
Applications of FHE in AI
The application of FHE technology in AI mainly focuses on the verification phase, such as cross-validation, selection, ranking, and voting. These phases require ensuring fairness and privacy, and FHE technology can achieve verification without decrypting the data. For example, in AI projects, MindNetwork's verification SDK can provide FHE voting services, ensuring that the voting process is completely encrypted without exposing plaintext data. Another typical case is the DePIN project IO.net, which implements fair task distribution among GPU nodes through MindNetwork's SDK, ensuring that the task allocation process is fully encrypted.
Moreover, MindNetwork's restaking mechanism combines FHE technology with economic incentives, further enhancing the consensus security of the AI network. Users can stake LRT/LST assets through remote restaking without performing cross-chain operations, earning APR while contributing to network security. This mechanism lowers the entry threshold for AI projects and rapidly increases total value locked (TVL) by absorbing multi-chain liquidity.
MindNetwork's technical team and achievements
MindNetwork's technical team consists of top professors and PhDs in the fields of AI, security, and cryptography, ensuring the project's technical strength. The project has also received funding from the Ethereum Foundation and won first place at the EthSingapore Hackathon, as well as the first awarded solution at the MetaMask ETHSG Hackathon. MindNetwork's test network attracted 650,000 wallet addresses and processed 3.2 million transactions, demonstrating the immense potential for its mainnet launch.
The impact of MindNetwork on the future of AI
Research shows that FHE technology provides true decentralization and privacy protection for AI. Traditional AI models often require data decryption during training and validation phases, while FHE technology allows these operations to be conducted in an encrypted state, significantly enhancing AI's security and privacy protection levels. MindNetwork is seen as a 'golden shovel', providing robust security and privacy solutions for other projects. As FHE technology continues to mature, MindNetwork is set to play an increasingly vital role in the digital age, optimizing the operations of encrypted AI projects and injecting new vitality into the Web3 ecosystem.
Conclusion
MindNetwork is reshaping the future of AI through fully homomorphic encryption (FHE) technology. By building a secure and privacy-preserving computing environment, MindNetwork not only provides new security standards for Web3 but also brings genuine decentralization and privacy protection to AI. As FHE technology continues to mature, MindNetwork will play an increasingly important role in the digital age, providing users and developers with a more secure and trustworthy AI ecosystem.
