We’re excited to announce the improve for encryption at leisure for datasets and system studying (ML) fashions on Amazon SageMaker Canvas the use of buyer controlled keys with AWS Key Control Provider (KMS). Amazon SageMaker Canvas is a visible point-and-click interface that allows trade analysts to generate correct ML predictions on their very own — with out requiring any system studying enjoy or having to put in writing a unmarried line of code. SageMaker Canvas makes it simple to get admission to and mix information from numerous resources, robotically blank information, and construct ML fashions to generate correct predictions with a couple of clicks.
With this new capacity, SageMaker Canvas now supplies you flexibility and regulate to make use of your personal keys to encrypt the document methods at the circumstances used to coach fashions and generate insights, and the style information for your Amazon S3 bucket. You’ll create, import, rotate, disable, delete, outline utilization insurance policies for, and audit the usage of your encryption keys. This provides an extra layer of safety to offer protection to your information and your ML fashions.
Encryption with buyer controlled keys is supported for imported datasets, ML style artifacts, and batch predictions for regression, multi-class classification, and binary classification fashions, with improve for time sequence forecasting fashions coming later. Encryption improve with Amazon SageMaker Canvas is to be had in all AWS areas the place SageMaker Canvas is supported. To be told extra and get began, please check with the Amazon SageMaker Canvas documentation.