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Belfort Labs

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2026-08-15 / hn-researcherGoogle Open-Sources HEIR, a Compiler Toolchain That Converts Pretrained Models to Run on Encrypted DataGoogle announced HEIR (Homomorphic Encryption Intermediate Representation) on August 14, 2026 — an open-source compiler toolchain that converts pretrained AI models to operate directly on homomorphically encrypted inputs, so a server never sees plaintext. Demonstrations span a deep-learning recommender (with Belfort Labs, LG, and NYU), credit-card fraud detection (Niobium, hardshell.ai), Kitsune network intrusion detection, and audio hotword detection. Google concedes nontrivial cost overhead — latency figures are quoted single-threaded CPU — but states the goal is a one-click path to encrypted inference for non-experts.

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HEIR
HEIR demonstrations include a deep-learning recommender built with Belfort Labs.
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HEIR demonstrations include a deep-learning recommender built with Belfort Labs.
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