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Google’s open-source HEIR lets AI work with data it can’t see

Google has released HEIR, an open-source compiler toolchain designed to enable artificial intelligence models to process encrypted data without compromising user privacy through homomorphic encryption technology.

Key Points

  • HEIR converts standard AI models into versions capable of performing computations on encrypted inputs.
  • The platform supports multiple homomorphic encryption schemes, programming languages, and hardware accelerators like GPUs, TPUs, and FPGAs.
  • Google developed the tool to simplify the optimization and deployment of privacy-preserving software for sectors including healthcare and finance.
  • The project has already facilitated four peer-reviewed academic publications and provides infrastructure for performance benchmarking and testing.
  • Practical applications include secure credit card fraud detection, private recommendation systems, and network intrusion monitoring.

Why it Matters

This technology addresses a critical barrier to AI adoption by allowing sensitive data to be analyzed without ever being decrypted. By reducing the complexity of implementing homomorphic encryption, Google is making privacy-preserving computation more accessible for developers across highly regulated industries.
Help Net Security Published by Anamarija Pogorelec
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