Homomorphic Encryption

Homomorphic Encryption allows complex mathematical computations to be performed directly on encrypted data without ever requiring a decryption key.

Homomorphic Encryption (HE) solves the data-in-use vulnerability by enabling third-party processors to analyze sensitive information while it remains in a ciphertext state. Unlike traditional AES encryption that requires decryption for processing, HE utilizes lattice-based cryptographic schemes (such as BGV, BFV, and CKKS) to ensure that the results of encrypted calculations match the results of plaintext operations once decrypted. This technology is currently moving from academic research into production via libraries like Microsoft SEAL and OpenFHE: providing a quantum-resistant framework for private machine learning, secure genomic analysis, and confidential cloud computing in high-compliance sectors like healthcare and finance.

https://homomorphicencryption.org