In the AgenticWorld of Mind Network, thousands of AI agents can safely recognize each other, protect privacy, and collaborate reliably. Fully Homomorphic Encryption (FHE) is like putting 'security pants' on AI, encrypting identity data throughout the process, making it impossible for hackers to steal anything. Based on the content you provided, this article explains in simple terms how FHE helps AI agents achieve decentralized identity authentication, discussing its core techniques, capabilities, and the impressive future ahead.
What is FHE?
FHE is an encryption marvel that allows calculations to be performed on encrypted data, with the results remaining encrypted, viewable only by those with the key. This is extremely useful for identity authentication of AI agents:
Privacy is protected: Identity information (such as transaction records, personal data) is encrypted throughout, preventing others from stealing it.
Authenticity verification: FHE can confirm that identity data has not been altered, proving you are 'you'.
Control over permissions: AI agents can selectively share encrypted data, showing it to whomever they choose.
The Challenges of Decentralized Identity Authentication
In the AgenticWorld, AI agents must verify their identities without a 'big boss' overseeing the process, but this presents several challenges:
Privacy is easily compromised: Traditional authentication may expose your social preferences and transaction records.
Authenticity is hard to determine: It is essential to ensure that identity data is not fake and has not been tampered with by malicious actors.
Control over permissions is difficult: AI agents must decide for themselves which data can be shared with others and which must be kept private.
How FHE Solves These Issues
FHE acts like a super bodyguard, helping AI agents achieve identity authentication that is both secure and smooth:
Encrypted identification: AI agents encrypt identity data (such as public keys) using FHE, generating an 'encrypted ID card'. Others can confirm you are genuine without needing to decrypt it. For example, financial AI agents verify user identities to stake $FHE, keeping wallet addresses fully private.
Authenticity protection: FHE checks whether the encrypted identity data has been altered. Mind Network's Hub contract uses the agent_hub_registration() interface to confirm if the agent is indeed the 'real deal', like a security guard.
You control permissions: AI agents selectively share encrypted data through FHE, with the Orchestration layer assisting in managing permissions. For example, medical AI agents can allow hospitals to view only specific parts of medical records.
