Mind Network is the first FHE (Fully Homomorphic Encryption) project officially integrated into the DeepSeek codebase.
Mind Network has pioneered an FHE infrastructure resistant to quantum attacks, driving a fully encrypted internet through secure data and AI computing.
Mind Network adheres to four major principles: FHE consensus security, FHE data security, FHE computation security, and FHE communication zero-trust encryption security, and is collaborating with various industries.
In the Web3 blockchain field, Mind Network has launched the trusted ecological product AgenticWorld for agentic AI on the world's first FHE chain MindChain of Binance's BNBChain, aiming to provide privacy protection and verifiable security guarantees for more users to participate in decentralized AI on the blockchain.
1. The core value of FHE: Balance between privacy and computation.
Encrypted data availability: Traditional encrypted data cannot be directly computed, while FHE supports operations such as addition, subtraction, multiplication, and division in encrypted state, with results decrypting to match plaintext calculations. FHE, as the holy grail of cryptography, is a groundbreaking technology that allows agents to perform computations while keeping data encrypted throughout the process, eliminating the need for decryption.
Privacy protection: Data always exists in encrypted form, applicable to sensitive areas such as EVM cross-chain interactions in Web3, avoiding data leakage risks.
2. Today, in the age of artificial intelligence, privacy has always been an issue. The privacy bottleneck in AI development will be broken in the field of FHE, addressing the data island problem: In Web2 network security, data is not shared due to privacy concerns. However, in the Web3 era, FHE supports joint construction, breaking down data barriers.
Supplement to federated learning: While federated learning can train models locally, FHE can directly encrypt input data, enhancing privacy protection.
3. FHE is the future of AI technology implementation and innovation. MindNetwork is equivalent to a solution provider focused on FHE + AI, and its core contributions may include:
Performance optimization: Providing strong support through algorithm improvements.
This is not only AI for Web3 network security in the blockchain field but also AI that can genuinely integrate into society.
4. The era of FHE data sovereignty: Individuals and future banks can authorize data usage methods, achieving 'data usable but invisible' for greater privacy effects.
Democratization of AI: Any user can participate in model training through federated learning + FHE without the need for massive data.
Zero-trust I/O: This component focuses on protecting data input and output, ensuring sensitive information remains confidential throughout its entire lifecycle.
Zero-trust computation: It addresses the secure processing of data on decentralized infrastructure, protecting data during the computation process.
MindNetwork has made breakthroughs in FHE performance optimization and AI scene adaptation, becoming a key driver in the field of privacy computing. The combination of FHE and AI is not only a trend in Web3 blockchain but also a cornerstone for building a trusted intelligent social reality. In the future, with improvements in algorithm efficiency and hardware advancements, FHE will become a core component of AI infrastructure, ushering in a new era of AI data-driven innovation.
The world of FHE agents has arrived; humans will no longer need to micromanage every task, instead, FHE will guide the agents to move forward together.
