Configuring Amazon Bedrock AgentCore Gateway for Private Access
Amazon Web Services provides guidance on how users can configure Bedrock AgentCore Gateway for secure access to private resources via Resource Gateway.
What happened?
AWS has released a guide describing how to configure the Amazon Bedrock AgentCore Gateway. The guide explains how to establish secure connections to private endpoints using Resource Gateway, which creates Elastic Network Interfaces (ENIs) directly within the user's Amazon VPC.
Key facts
| Tjänst | Amazon Bedrock AgentCore Gateway |
|---|
”In this post, you will configure Amazon Bedrock AgentCore Gateway to access private endpoints using Resource Gateway, a managed construct that provisions Elastic Network Interfaces (ENIs) directly inside your Amazon VPC, one per subnet.”
”You will explore two implementation modes (managed and self-managed) and walk through three practical scenarios: connecting to a private Amazon API Gateway endpoint, integrating with a MCP server on Amazon Elastic Kubernetes Service (Amazon EKS), and accessing a private REST API.”
Why it matters
This configuration capability is significant as it addresses the need for secure communication between AI agents and internal, private backend systems. It solves the challenge of AI models needing to interact with sensitive or internal data that is not publicly accessible. By providing a structured method for connection, AWS enhances the security and functionality of applications built on Amazon Bedrock.
Who is affected?
The guide is primarily aimed at developers and architects working with AWS and Amazon Bedrock. Companies implementing AI solutions requiring secure access to internal systems are directly affected. Users of AI-driven applications may indirectly benefit from increased security and reliability.
What else you should know
Both managed and self-managed implementation modes are described in the guide. Examples include connecting to private Amazon API Gateway endpoints, integrating with MCP servers on Amazon EKS, and accessing private REST APIs.
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- Assess technical risk: model choice, vendor lock-in, data flow and running cost.
- Update the architecture doc if new APIs or regulations touch production.
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