Generative AI adoption and compliance

As organizations increasingly use generative AI to streamline processes, enhance efficiency, and gain a competitive edge in today’s fast-paced business environment, they seek mechanisms for measuring and monitoring their use of AI services.

To help you navigate the process of adopting generative AI technologies and proactively measure your generative AI implementation, AWS developed the AWS Audit Manager generative AI best practices framework. This framework provides a structured approach to evaluating and adopting generative AI technologies and addresses important aspects such as strategy alignment, governance, risk assessment, and security and operational best practices. You can use the framework within AWS Audit Manager as you implement generative AI workloads, to measure and monitor existing workloads through Audit Manager capabilities such as automated evidence collection and customized assessment reports.

By embracing the potential of generative AI while adhering to best practices, you can position your organization at the forefront of innovation while maintaining the trust and confidence of stakeholders and customers.

The guidance provided by the framework, together with the capabilities of Audit Manager, Amazon Bedrock, and Amazon SageMaker can help you establish secure and controlled environments for generative AI implementation, automate evidence collection and risk assessments, and monitor and mitigate potential risks.

Read the full blog here.