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A new standard for data privacy in the AI era is emerging.



From the perspective of the industry landscape, this is the first deep intersection of AI and Web3 infrastructure at the "data security" level, signaling that future internet applications will not only emphasize efficiency and intelligence but also need to be built on a "privacy and trust" technical foundation.

Mind Network makes your AI chat data "automatically encrypted".
In today's world, where AI is becoming increasingly intelligent and widely used, the protection of user data is facing new challenges. Especially when chatting with AI assistants and submitting sensitive information, questions about how data is transmitted, stored, and accessed, and whether it can be "seen" by the platform, all carry privacy risks.

Mind Network provides a "solution" to this critical issue. Through this collaboration, it will offer BytePlus a complete set of privacy protection mechanisms, including private input protection, encrypted computation (FHE), and secure result return. Even during complex computations such as AI model calls and intelligent Q&A, the user's data is fully encrypted throughout the process— the platform cannot peek, and third parties cannot intercept.

For example:
For example, ByteDance's AI application platform COZE is becoming the fastest-growing AI Agent tool in the Chinese-speaking world; meanwhile, Lark, as ByteDance's office collaboration tool, is also vigorously introducing AI assistant features.

The integration of Mind Network allows users of these platforms to be in a "default encrypted" data environment from the very beginning. Even if personal information or work data is submitted, the platform cannot see the content, truly achieving "safe use and worry-free communication."

The stronger AI becomes, the more important privacy is.
The technical core of Mind Network is "Fully Homomorphic Encryption (FHE)", a cryptographic technology that may seem distant but allows computation to be performed without decryption, fundamentally changing the traditional logic of "giving away data in exchange for services."

More importantly, Mind Network is not just conducting research, but is making this capability "accessible to everyone" through open-source tools and SDKs, allowing developers to integrate directly into Agent or AI applications.

In other words, future AI will no longer rely on trust platforms but will trust the encryption itself. It will no longer be just about "creating wallets and issuing coins"; instead, it will provide guarantees for the AI society that all of humanity is about to enter through underlying privacy capabilities. This time, Mind Network has taken the lead in standing at the entrance of this future.

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