Enhancing data privacy with layered authorization for Amazon Bedrock Agents

This article discusses how to enhance data privacy and prevent unauthorized access when using Amazon Bedrock agents, a generative AI service, in applications. It highlights potential risks like prompt injection and sensitive data disclosure due to the broad permissions required for agents to access data sources.

Specifically, the article covers:

• The challenge of maintaining data access controls when using generative AI models like Amazon Bedrock agents
• A solution involving layered authorization with Amazon Verified Permissions to authorize data access based on user identity and permissions
• Detailed steps and policies to configure Amazon Bedrock agent roles and integrate with Verified Permissions for authorization checks
• The importance of enforcing authorization decisions in the application logic based on Verified Permissions' allow/deny response
• Conclusion emphasizing the use of AWS native services to improve data protection in generative AI applications