Google Introduces HEIR Compiler for Enhanced Private AI Using Homomorphic Encryption

Aug 14, 2026

AI Summary

Google has launched HEIR, an open-source compiler designed to facilitate private AI inference through homomorphic encryption. This technology allows computations on encrypted data, enhancing privacy while enabling features like content recommendations without exposing user information.

Google has introduced HEIR, a new tool in its Private Computing Toolkit aimed at improving private AI inference using homomorphic encryption.
Homomorphic encryption allows computations on encrypted data, enabling services to function without accessing sensitive user information.
HEIR is designed to convert pre-trained AI models to work with encrypted inputs, making it easier for developers to implement secure AI applications.
The project has gained support from various hardware accelerator companies and academic institutions, resulting in collaborations and research advancements.
Google aims to make homomorphic encryption more accessible and efficient for the software industry, addressing privacy and security challenges in AI.

homomorphic encryptionprivate aidata privacygooglemachine learning

Google Introduces HEIR Compiler for Enhanced Private AI Using Homomorphic Encryption

Related Stories

Chinese Cyber Groups Increase Attacks Using AI Tools Like DeepSeek

U.S. Energy Sector Faces Worker Shortage Amid AI Demand, Humanoid Robots May Fill Gap

AI Adoption Leads to Job Losses for Programmers and Other Workers in China

Impact of Ukraine Conflict on Modern Warfare Tactics and Technology