Google is making private AI practical with homomorphic encryption

Google has made private AI practical using homomorphic encryption, allowing data to be processed without being decrypted. This breakthrough protects user privacy while enabling machine learning on sensitive information. The technique computes on encrypted data, so even Google cannot see the raw inputs. Previously too slow for real-world use, Google's optimized implementation reduces computational overhead significantly. This makes secure AI feasible for healthcare, finance, and other industries that handle private data. The company's research demonstrates accurate model training and inference on encrypted data, marking a major step toward confidential cloud computing.