@lawaladam67
Zama uses Fully Homomorphic Encryption (FHE) to perform computations on encrypted data, enabling public verification of results without revealing sensitive information.
Multiple coprocessors independently compute on encrypted inputs, and a consensus mechanism ensures detection of malicious or incorrect results, adding trustlessness.
Zero-Knowledge Proofs (ZK) verify correct formation of encrypted inputs without exposing content, supporting public auditability while preserving data privacy.
@zama’s approach combines FHE, coprocessor consensus, and ZK proofs to ensure private data remains encrypted while allowing public verification, addressing blockchain confidentiality challenges.
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