End-to-end encrypted ML inference with Amazon SageMaker AI and FHE
AWS shows how to run end-to-end encrypted ML inference on SageMaker using fully homomorphic encryption via concrete-ml.
“What if you could run ML inference in the cloud while hiding your data from the cloud itself?”
AWS published a tutorial demonstrating fully homomorphic encryption (FHE) for ML inference on SageMaker using the higher-level concrete-ml library, keeping queries and predictions encrypted even from AWS itself. It matters as a privacy-preserving ML pattern for regulated sectors like healthcare and telecom, but it's an incremental engineering how-to rather than a major industry signal.