Assessment of security controls and configurations in Amazon SageMaker to ensure foundational security practices are implemented effectively.
The SageMaker for AWS Foundational Security Best Practices benchmark evaluates security controls and configurations within Amazon SageMaker, an AWS-managed machine learning service. It focuses on safeguarding data and resources through identity and access management (IAM) practices, including least privilege access and strong authentication. The assessment also covers data protection, network security, secure data storage, disaster recovery mechanisms, and backup procedures. By following these best practices, organizations can enhance security measures, reduce risks of breaches, and ensure continuity in their machine learning operations on SageMaker.