Integration with Amazon SageMaker AI

Integration type: Subscriber

Amazon SageMaker AI is a fully managed machine learning (ML) service. With Security Lake, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. It provides a UI experience for running ML workflows that makes SageMaker AI ML tools available across multiple integrated development environments (IDEs).

SageMaker AI insights

You can generate machine learning insights for Security Lake by using SageMaker AI Studio. This Studio is a web integrated development environment (IDE) for machine learning that provides tools for data scientists to prepare, build, train, and deploy machine learning models. With this solution, you can quickly deploy a base set of Python notebooks focusing on AWS Security Hub findings in Security Lake, which can also be expanded to incorporate other AWS sources or custom data sources in Security Lake. For more details, see Generate machine learning insights for Amazon Security Lake data using Amazon SageMaker AI.