AWS Audit Manager extends generative AI best practices framework to Amazon SageMaker

The article summarizes the launch of an update to the AWS Audit Manager generative AI best practice framework, which extends support to Amazon SageMaker in addition to Amazon Bedrock.

Specifically, the article covers:

• The framework includes 110 pre-configured standard controls organized under domains such as accuracy, privacy, resilience, and security.
• The controls perform automated and manual checks on generative AI workloads, such as enforcing periodic reviews of model accuracy and validating anonymization of data used for training.
• The controls gather data from various AWS services, including AWS Config, AWS Security Hub, and AWS CloudTrail.
• The article provides a step-by-step guide on creating an assessment using the new framework, including specifying assessment details, AWS accounts in scope, and audit owners.
• The framework is available in AWS Regions where Amazon Bedrock and Amazon SageMaker are available.