Configuring Amazon Bedrock AgentCore Gateway for secure access to private resources
Summary
Amazon Bedrock AgentCore Gateway now offers VPC connectivity, enabling AI agents to securely access private resources like internal APIs, databases, and Model Context Protocol (MCP) servers within Amazon Virtual Private Cloud (Amazon VPC) boundaries without public internet exposure. This feature utilizes Resource Gateway, a managed construct that provisions Elastic Network Interfaces (ENIs) directly inside your Amazon VPC. The system supports two implementation modes: "managed VPC resource" where AgentCore Gateway handles Resource Gateway creation and management, and "self-managed Lattice resource" which provides users with full control over the Resource Gateway lifecycle and cross-account connectivity via AWS Resource Access Manager (AWS RAM). The post details configuration for connecting to private Amazon API Gateway endpoints, MCP servers on Amazon Elastic Kubernetes Service (Amazon EKS), and generic private REST APIs, primarily focusing on the managed mode.
Key takeaway
For AI Architects and MLOps Engineers deploying AI agents that require access to private AWS resources, Amazon Bedrock AgentCore Gateway's VPC egress capability simplifies secure connectivity. Evaluate whether the streamlined setup of "managed VPC resource" mode or the granular control and cross-account support of "self-managed Lattice resource" mode best fits your network architecture and governance needs. This eliminates the operational overhead of exposing internal APIs or configuring complex network paths for each agent-to-tool interaction.
Key insights
Amazon Bedrock AgentCore Gateway provides secure, private connectivity for AI agents to internal AWS resources.
Principles
- Isolate AI agent traffic from the public internet
- Scope connectivity to specific endpoints, not entire VPCs
Method
Configure AgentCore Gateway with a Resource Gateway (managed or self-managed) to provision ENIs in your VPC, routing agent traffic to private endpoints via defined security groups and resource configurations.
In practice
- Connect agents to private Amazon API Gateway
- Integrate with private MCP servers on Amazon EKS
- Access internal REST APIs securely
Topics
- Amazon Bedrock AgentCore Gateway
- VPC Egress
- Resource Gateway
- Managed VPC Resource Mode
- Self-Managed Lattice Resource Mode
Code references
Best for: AI Engineer, MLOps Engineer, AI Architect
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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.