Building an AI powered system for compliance evidence collection
aws.amazon.com - machine-learningCompliance audits require comprehensive evidence trails, often involving hundreds of screenshots across multiple systems. Your compliance teams likely spend hours manually navigating through GitHub repositories, AWS consoles, and internal applications, capturing screenshots at each step. This manual process is time-consuming, error-prone, and difficult to reproduce consistently across audit cycles. This post demonstrates how we automated audit workflows using Amazon Bedrock and browser automation.
In this post, we show you how to build a similar system for your organization. You will learn the architecture decisions, implementation details, and deployment process that can help you automate your own compliance workflows. We built a browser extension that automates this evidence collection process using Amazon Bedrock with the Amazon Nova 2 Lite model. Your extension will execute pre-defined compliance workflows, automatically capture timestamped screenshots, and store organized evidence in Amazon Simple Storage Service (Amazon S3). It can also analyze compliance documents and generate new ...
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