Understanding the benefits of using multiple AWS accounts with Amazon SageMaker
In this section, we'll cover the general, high-level benefits of using multiple AWS accounts. We'll also discuss the considerations that are specific to using Amazon SageMaker across the ML Lifecycle:
- Benefit #1: Implementing specific security controls
Using multiple AWS accounts allows customers to implement security controls that are specific to the workload, environment, or data. As an example, some workloads may have unique security requirements (such as PCI compliance) and require additional controls. Using multiple accounts allows you to maintain fine-grained controls that are isolated and auditable at the AWS account level.
For the model-building activities included in the ML Lifecycle, using multiple AWS accounts allows you to create and manage data science environments that include the controls that are specific to machine learning, as well as to your security requirements. With...
