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Showing results for tags 'cmk'.
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We’re excited to announce the support for encryption at rest for datasets and machine learning (ML) models on Amazon SageMaker Canvas using customer managed keys with AWS Key Management Service (KMS). Amazon SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code. SageMaker Canvas makes it easy to access and combine data from a variety of sources, automatically clean data, and build ML models to generate accurate predictions with a few clicks. View the full article -
Starting today, customers can choose to further protect their recommendation data generated by AWS Compute Optimizer by exporting to S3 buckets encrypted with AWS Key Management Service (KMS) Customer Master Keys (CMKs). View the full article
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Amazon Textract is a machine learning service that makes it easy to extract printed text, handwriting, and data from virtually any document. Today, we are pleased to announce that Amazon Textract supports encryption of its asynchronous API output stored in your Amazon S3 buckets using your own AWS Key Management Service (KMS) Customer Master Keys (CMKs). With this feature, you have the flexibility to manage which encryption keys are used to protect your data and text extracted by Amazon Textract. For more information on how to accomplish this, please read our newest blog post. View the full article
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