In the era of artificial intelligence, especially after the explosion of AI agents this year, humanity will become incredibly dependent on AI. What you rely on at a certain point will become your Achilles' heel, leading to a security issue. How to ensure safety without fail? Traditional data security involves three processes: encryption, computation, and decryption. Any exposed link in this chain can potentially lead to a significant security crisis.


Thus, someone proposed Fully Homomorphic Encryption (FHE), which is remarkable because it can perform various computations directly on encrypted data, and the computation results remain encrypted throughout, greatly protecting privacy and security. Apart from this technology, traditional security technologies also include ZK and MPC. ZK mainly protects privacy, while MPC is akin to combining multiple keys. Compared to these, the advantages of fully homomorphic encryption are outlined below.

Opportunities:

Privacy computing revolution: Can perform direct computations on encrypted data (such as cloud services, medical data analysis), achieving 'data usable but invisible.'

Compliance tool: Meets privacy regulations like GDPR, especially suitable for sensitive areas such as finance and government.

Challenges:

Efficiency bottleneck: Computing speed is more than a thousand times slower than plaintext, with high hardware requirements, making it difficult to implement.

Technical threshold: Complex algorithms, difficult key management, requiring accompanying software and hardware optimization.

Simple summary: Huge potential, but currently like a 'flying concept car'—strong in theory, but requires breakthroughs to be realized.

In summary, fully homomorphic encryption is completely encrypted throughout the process, which is obviously more secure, but at the cost of requiring a larger computational load, with higher hardware demands, and less economic feasibility than traditional technologies. However, in fields where security is crucial, there is potential for application, and related companies are beginning to make arrangements.

When discussing fully homomorphic encryption, one cannot fail to mention Mind Network, as it is the first secure network platform based on FHE (Fully Homomorphic Encryption) technology, aiming to lead Web3 into a new era of quantum resistance and end-to-end encryption. In April of this year, it just completed the airdrop after the testnet and mainnet, with TGE oversubscribed by 174 times. Starting from April 2024, it has already been applied in projects such as io.net, Chainlink, Phala, and Swarms, indicating that the market is still quite optimistic; otherwise, it wouldn't have been so popular.

In the end, I can't believe I didn't see the TGE and airdrop projects back then, what a pity.@Mind Network

#MindNetwork全同态加密FHE重塑AI未来 $FHE