Secure AI agents with Policy and Lambda interceptors in Amazon Bedrock AgentCore gateway
Amazon Bedrock now lets you lock down AI agents with policy controls and Lambda interceptors—here's how to implement geography-based access in production.
Why it matters
AWS is shipping security guardrails for AI agents in production, addressing a critical gap for enterprises deploying autonomous workflows. This is a built feature, not a model capability.
The key facts
9 to knowAmazon Bedrock AgentCore gateway now supports Policy for deterministic access control
Lambda interceptors enable dynamic validation on agent actions
Geography-based access control demonstrated as use case combining both mechanisms
Lakehouse data agent used as reference implementation
Published Jun 2026 on AWS ML blog
Lambda interceptors added for dynamic validation
Combined approach enables geography-based access control
Use case demonstrated: lakehouse data agent with layered security
Addresses enterprise-grade agent deployment requirements
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we use a lakehouse data agent to demonstrate how you can use Policy for deterministic access control and Lambda interceptors for dynamic validation. We then show how to combine Lambda interceptors and Policy to implement a geography-based access control which requires both dynamic…