Secure AI agents with Amazon Bedrock AgentCore Identity on Amazon ECS
Amazon AWS AI Blog / 5/6/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage
Key Points
- The post explains how to securely connect production AI agents to external services by using Amazon Bedrock AgentCore Identity.
- AgentCore Identity is provided as a standalone service and can secure access regardless of where agents run, including Amazon ECS, EKS, AWS Lambda, or on-premises environments.
- The implementation described uses the Authorization Code Grant (3-legged OAuth) flow on Amazon ECS.
- It highlights security enhancements such as secure session binding and scoped tokens to limit and control what external services an agent can access.
- Overall, the article provides a practical approach for deploying IAM/OAuth-based protections around AI agent external-service calls in real workloads.
AI agents in production require secure access to external services. Amazon Bedrock AgentCore Identity, available as a standalone service, secures how your AI agents access external services whether they run on compute platforms like Amazon ECS, Amazon EKS, AWS Lambda, or on-premises. This post implements Authorization Code Grant (3-legged OAuth) on Amazon ECS with secure session binding and scoped tokens.
Related Articles

Black Hat USA
AI Business

Transform Your Blurry Photos into HD Masterpieces, Instantly!
Dev.to

6 New Moats for AI Agent Infrastructure — Trust Score, Deployment, SLA, Identity, Compliance-as-Code
Dev.to

Google Home’s Gemini AI can handle more complicated requests
The Verge

Exit Code 2: How Claude Hooks Turn Agentic Rules Into Runtime Barriers
Dev.to