Songzhi Liu

Data lakes require comprehensive security controls throughout their lifecycle, particularly for AI/ML workloads. This session provides hands-on experience implementing end-to-end security for AWS data lake architectures.

This workshop dives deep into the security best practices for running Amazon SageMaker in a regulated environment, including identity and access management, network configuration, infrastructure protection, data protection, and logging and audit. In this workshop, use AWS Service Catalog to deploy an Amazon SageMaker notebook in a private subnet with no internet connectivity, encrypt all data...