# Integration with Amazon SageMaker AI
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**Integration type:** Subscriber

[Amazon SageMaker AI](https://docs.aws.amazon.com//sagemaker/latest/dg/whatis.html) 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
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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 CSPM](https://docs.aws.amazon.com/securityhub/latest/userguide/what-is-securityhub.html) 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](https://aws.amazon.com/blogs//security/generate-machine-learning-insights-for-amazon-security-lake-data-using-amazon-sagemaker/).