Implement on-behalf-of token exchange for multi-tenant agents with Amazon Bedrock AgentCore Gateway
AWS Machine Learning has published an implementation guide for setting up on-behalf-of token exchange using Amazon Bedrock AgentCore Gateway. The guide details how to configure a multi-tenant setup with Okta and manage token security. It illustrates JSON Web Token claim transformations and demonstrates audience binding for scaled defense in depth across tenants.
Key Takeaways
- AWS Machine Learning released an implementation guide that expands on earlier conceptual foundations for multi-tenant agents built with Amazon Bedrock AgentCore.
The guide provides instructions for implementing on-behalf-of token exchange using Amazon Bedrock AgentCore Gateway interceptors to enforce fine-grained access controls.
- The walkthrough demonstrates a complete multi-tenant setup configured against Okta.
It outlines the specific JSON Web Token claim transformations that occur on each hop, showing how identity context moves securely across agentic system boundaries.
- Additionally, the resource illustrates how audience binding produces defense in depth across multiple tenants.
Understanding these access patterns helps developers design secure identity propagation mechanisms when building multi-tenant AI systems.
- AWS Machine Learning released an implementation guide for on-behalf-of token exchange in multi-tenant agentic systems.
The guide details a multi-tenant on-behalf-of configuration integrated with Okta.
- Audience binding is demonstrated as a method to achieve defense in depth that scales across tenants.
AWS Machine Learning released an implementation guide that expands on earlier conceptual foundations for multi-tenant agents built with Amazon Bedrock AgentCore. The guide provides instructions for implementing on-behalf-of token exchange using Amazon Bedrock AgentCore Gateway interceptors to enforce fine-grained access controls. The walkthrough demonstrates a complete multi-tenant setup configured against Okta.
It outlines the specific JSON Web Token claim transformations that occur on each hop, showing how identity context moves securely across agentic system boundaries. Additionally, the resource illustrates how audience binding produces defense in depth across multiple tenants. Understanding these access patterns helps developers design secure identity propagation mechanisms when building multi-tenant AI systems.
AWS Machine Learning released an implementation guide for on-behalf-of token exchange in multi-tenant agentic systems. The guide details a multi-tenant on-behalf-of configuration integrated with Okta. It explains JSON Web Token claim transformations occurring across each hop in the system.
For more details please read the original article at AWS Machine Learning.
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