Google Open‑Sources HEIR for Running AI on Encrypted Data
· Technology · Open Source For You, opensourceforu
Google has released HEIR, an open‑source framework that lets machine‑learning models perform inference on data that remains encrypted. The tool uses homomorphic encryption to keep input data hidden while still enabling computations. It is intended to make private AI practical for businesses that need to protect sensitive information. Google posted the code on its public repository and stated that the framework can work with standard neural‑network libraries.
Why it matters
The release allows Indian firms and data‑sensitive sectors to apply AI without exposing private data, supporting compliance with privacy regulations. It could accelerate adoption of AI in healthcare, finance and government while keeping records confidential.
Read the original report — Open Source For You
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