FHE隐私计算

In today's rapidly developing field of artificial intelligence (AI), AI Agents are gradually infiltrating key areas such as finance, healthcare, and education. However, the security risks behind their autonomous decision-making capabilities—data breaches, model tampering, communication hijacking, etc.—have become bottlenecks that constrain industry development. How can we ensure that AI can operate 'freely' while maintaining security and trustworthiness? Fully Homomorphic Encryption (FHE) technology provides us with a revolutionary answer.
FHE: The Cornerstone of AI Security
Fully Homomorphic Encryption is hailed as the 'Holy Grail of Privacy Computing'. It allows data to be processed in an encrypted state, with the computation results remaining consistent with plaintext operations once decrypted. This characteristic perfectly aligns with the requirements of AI Agents.

Reconstructing the foundation of the agent ecosystem: Mind Network's key role in AgenticWorld
As artificial intelligence enters the 'agent era', we are no longer satisfied with training a obedient model, but want AI to truly 'understand you' and 'be used by you.'
And Mind Network is paving the way for this vision in an almost sci-fi manner.
⛓ Why do agents need a 'trusted runtime'?
Imagine handing your health report to AI for analysis. Without privacy encryption, your data could be misused; without a verifiable mechanism, you cannot know what algorithm it used or whether it provided genuine recommendations.