When the industry talks about privacy computing, very few people actually address a real, overlooked challenge. In a multi-chain world, data interoperability has always been insecure. Cross-chain bridges solve asset liquidity but don’t address the issue of 'how data can collaborate securely across different chains.' Right now, all cross-chain data is synced in plaintext: - Either exposing user profiles, - Limiting protocol design, - Or simply being too risky to use. This is where @zama brings a new level of value. FHE (Fully Homomorphic Encryption) ensures that data remains 'fully encrypted and computable' during cross-chain processes. No decryption, no reliance on third parties—both the source chain and the target chain only see encrypted data. Yet, they can still execute computations, run logic, verify results, and privacy is never compromised. With this, cross-chain is no longer just an asset bridge—it’s more like an encrypted data highway. Risk control models can access behavioral data across chains without exposing user details. DeFi protocols can use multi-chain information for real-time parameter adjustments without leaking strategies. AI models can access inputs from different chains without needing to know any plaintext. For the first time, the multi-chain ecosystem has the potential for 'secure collaborative computing.' Data can cross chains, logic can cross chains, but privacy doesn’t. Zama isn’t just a privacy tool here—it’s the secure foundation for full-chain interoperability, turning cross-chain from 'functional' to 'trustworthy.' @zama Zama ZAMA ZamaCreatorProgram