Meeting security and compliance objectives when using Amazon SageMaker (Level 200) - AWS Innovate

March 11, 2020
Amazon SageMaker is a fully managed machine learning (ML) service that data scientists and developers use to build predictive and analytical models with their data. Datasets used for research may contain sensitive information, such as medical records or intellectual property, that must be protected. In this session, we guide you through the steps needed to ensure security and compliance when using Amazon SageMaker, including using data encryption, identity and access management, logging and monitoring, compliance validation, and infrastructure security. Speaker: Michael Stringer, Senior Solutions Architect, AWS
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