AWS Security Blog
Category: Artificial Intelligence
Mitigate data leakage through the use of AppStream 2.0 and end-to-end auditing
Customers want to use AWS services to operate on their most sensitive data, but they want to make sure that only the right people have access to that data. Even when the right people are accessing data, customers want to account for what actions those users took while accessing the data. In this post, we […]
Secure deployment of Amazon SageMaker resources
Amazon SageMaker, like other services in Amazon Web Services (AWS), includes security-related parameters and configurations that you can use to improve the security posture of resources as you deploy them. However, many of these security-related parameters are optional, allowing you to deploy resources without them. While this might be acceptable in the initial exploration stage, […]