# Google Unveils HEIR, an Open-Source Compiler for AI on Encrypted Data

*2026-08-16 14:01 UTC · AI · 1 min read*

> Google's new open-source HEIR compiler lets AI models run inference on encrypted data without decrypting it, aiming to make private AI practical for non-experts.

Google announced HEIR (Homomorphic Encryption Intermediate Representation) on August 14, an open-source compiler toolchain that lets AI models run inference directly on encrypted data, without ever decrypting it on the server.

The tool targets a long-standing trade-off: strong encryption protects user data but usually blocks providers from offering data-dependent features like recommendations or fraud checks. HEIR converts pre-trained models so they operate on encrypted inputs instead, with Google describing the goal as a "one-click" path for non-experts to add encrypted inference to production apps. Google demonstrated the approach on four applications: a recommendation model, credit-card fraud detection, network intrusion detection, and hotword detection for voice assistants.

The project already has hardware-accelerator partners including Belfort Labs, Niobium, Cornami, and Optalysys, plus academic collaborators such as Georgia Tech, Carnegie Mellon, and Tsinghua University. Four peer-reviewed papers have been built on HEIR so far, with more in preparation.

## Sources

- [blog.google](https://blog.google/security/how-google-is-making-private-ai-practical-with-homomorphic-encryption/)

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TechTools News · https://techtools.cz/tools/news/article/2199-google-unveils-heir-an-open-source-compiler-for-ai-on-encrypted-data
Česká verze: https://techtools.cz/tools/news/clanek/2272-google-predstavil-heir-open-source-kompilator-pro-ai-nad-sifrovanymi-daty