Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 1
- Authors

- Name
- Nino
- Occupation
- Senior Tech Editor
As autonomous systems and multi-step workflows become standard in enterprise architecture, a critical identity and access management challenge emerges: how to ensure an AI agent acts strictly on behalf of the authorized user without exceeding delegated privileges. Traditional per-app OAuth implementations and shared service accounts fall short because they fail to map granular user-to-agent authority chains. In this first part of our comprehensive guide, we examine how to build a secure task agent on Amazon Bedrock AgentCore while leveraging Okta Cross App Access and AgentCore Identity to govern delegation. Furthermore, for developers scaling these distributed applications across multiple model providers, maintaining low latency and high availability is crucial. Integrating robust infrastructure like n1n.ai ensures your agentic workflows can seamlessly switch between top-tier models while maintaining centralized governance.
The Enterprise Identity Dilemma in Agentic Workflows
When deploying large language models configured as autonomous agents, the core architectural paradigm shifts from simple request-response interactions to stateful, tool-calling loops. An agent powered by models such as Claude 3.5 Sonnet or OpenAI o3 might invoke multiple downstream microservices, query internal databases via Retrieval-Augmented Generation (RAG), and execute API calls on the user's behalf.
+-------------+ Delegated Token +-------------------+ Authorized API Call +------------------+
| User Client | -----------------------> | Amazon Bedrock | --------------------------> | Downstream SaaS |
+-------------+ | AgentCore Runtime | +------------------+
+-------------------+
^
| Token Validation
+-------------------+
| Okta Cross App |
| Access & Identity |
+-------------------+
Without a rigorous identity perimeter, an agent could inadvertently escalate privileges or access resources outside the specific user's purview. Okta Cross App Access addresses this gap by establishing secure trust boundaries between applications, ensuring that identity context persists across service boundaries.
Architecture Overview: Amazon Bedrock AgentCore and Okta
To solve the delegation problem, we construct a reference architecture combining Amazon Bedrock AgentCore for runtime execution and Okta for identity federation.
- User Authentication: The client authenticates against Okta, receiving an access token containing explicit scopes and claims.
- Agent Invocation: The user invokes the Amazon Bedrock AgentCore runtime, passing the Okta-issued token.
- Identity Propagation: AgentCore Identity intercepts the token, validating it against Okta Cross App Access policies to enforce fine-grained authorization.
- Tool Execution: The agent invokes downstream tools only if the validated claims permit the requested action.
When building these systems, developers often need to evaluate multiple LLM backends to optimize cost and performance. Using n1n.ai as an API aggregator allows engineering teams to route agentic calls dynamically, ensuring predictable latency < 200ms even under heavy enterprise traffic loads.
Step-by-Step Implementation Guide
Let's walk through setting up the foundational components for your task agent, incorporating identity enforcement.
Step 1: Configuring Okta Cross App Access
First, you must configure an Authorization Server in Okta and define custom scopes that represent the actions your Bedrock agent is permitted to execute.
\{
"issuer": "https://dev-123456.okta.com/oauth2/default