Propagate user authorization context in AI agents with Amazon Bedrock AgentCore
Brief
Many teams now deploy AI agents that pull from Amazon DynamoDB tables, document repositories, software as a service (SaaS) platforms, and internal knowledge bases to answer questions and automate workflows. A key risk in these deployments is that the agent has no awareness of who’s asking, so it might return data the user shouldn’t see.
If you’re using Amazon Bedrock AgentCore to build AI agents that access multiple data sources, you need each user to see only the data they’re authorized to access. In this post, you learn patterns for propagating user authorization context through your agents so access control is enforced by infrastructure and downstream services, not by agent code.
In this post, we show you how to deploy agents that enforce least privilege access without writing authorization logic in the agent itself.