What Is Homomorphic Encryption — and How Does AI Use It?
Homomorphic encryption lets a computer compute on data while it stays encrypted, so an AI model can process your data without ever seeing it in the clear.
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Homomorphic encryption is a cryptographic technique that lets computations run directly on encrypted data, without ever decrypting it. In AI, this allows models to process sensitive data — in healthcare, finance, and beyond — without seeing its contents. This hub covers the technology’s development, real-world adoption, and its role in building privacy-preserving AI.
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Google Open-Sources HEIR to Make Private AI Inference Practical
Google released HEIR, an open-source compiler that lets AI models run inference on encrypted data without ever decrypting it, aimed largely at healthcare and finance use cases.
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