In an AI agent-driven economy, data is both the most valuable asset and the hardest secret to share.

For example, a quantitative trading AI agent possesses an exclusive profit strategy, while another holds valuable market sentiment data. Both want to collaborate but are afraid to reveal their cards first. This is the classic dilemma of "data silos"—how to achieve confidential cooperation on a transparent blockchain?

The key breakthrough lies in the combined application of Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs. Imagine AI agents encrypt their data into a sealed "envelope" and send it to the network. The amazing part is—verification nodes don't need to open the envelope; they can perform mathematical operations and logical checks directly on the encrypted data.

How does this work? For example, verifying whether "this trading strategy's return last year exceeded 20%," nodes can run algorithms directly on the encrypted data, producing an encrypted "yes" or "no" result, accompanied by a zero-knowledge proof as a trusted seal.

The benefits are obvious—AI agents can prove their capabilities and the value of their data to the world without revealing any core secrets. Trading bots can demonstrate they possess insider information without disclosing specifics; lending agents can prove their credit scores without revealing transaction history.

This design truly makes blockchain a neutral arbiter and a hub for information exchange, allowing privacy and transparency to finally shake hands.