Building Secure Machine Learning Environments Using Amazon SageMaker

Level: 300

Cloud security at AWS is the highest priority. At AWS, building a secure environment from our data centers to our network architecture is of paramount importance. The same principles apply to machine learning where we provide a secure environment using our machine learning services and in particular Amazon SageMaker. In this tech talk, we will discuss how the features of Amazon SageMaker can be applied to build a secure ML environment, including the secure end points, the logging controls, the governance, and the compliance aspects. The talk will also cover the interaction of SageMaker with other AWS services to ensure the highest security for your machine learning models.