Secure AI agents with Policy and Lambda interceptors in Amazon Bedrock AgentCore gateway
Quick Answer
AWS demonstrates the integration of Policy and Lambda interceptors in Amazon Bedrock's AgentCore gateway for enhanced security.
Quick Take
This approach enables deterministic access control alongside dynamic validation, facilitating geography-based access restrictions. The combination ensures robust security measures for AI agents accessing lakehouse data.
Key Points
- Policy enables deterministic access control for AI agents in Amazon Bedrock.
- Lambda interceptors provide dynamic validation for enhanced security measures.
- Geography-based access control combines both Policy and Lambda interceptors.
- Integration supports secure access to lakehouse data for AI applications.
- Robust security framework improves compliance and data protection.
Article Excerpt
From source RSS / original summaryIn 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 validation and deterministic access control.
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