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ToolsAWS Machine Learning Blog
Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 2
使用 Okta Cross App Access 和 Amazon Bedrock AgentCore 治理 AI 代理访问 – 第 2 部分
Teams scaling governed agents face a real tradeoff in choosing Okta Cross App Access with Amazon Bedrock AgentCore Gateway as a single controlled front door rather than many bespoke auth paths.
Judgment
Platform and identity architects must decide whether to replace each agent’s direct holding of MCP server runtime ARNs with Okta Cross App Access plus AgentCore Gateway, accepting a centralized wiring and policy layer in exchange for fewer bespoke auth paths.
Basis
AWS Machine Learning Blog authors Hammad Ausaf, Madhu Samhitha Vangara, and Rajat Jain write that Part 1 built a task agent on Amazon Bedrock AgentCore runtime that acts for signed-in users through Okta Cross App Access. Okta decides which agent may act for which user, and AgentCore Identity redeems Okta’s grant inside the agent. That proves the governance mechanism, but on a small topology: one agent, two MCP servers, and the authorization check written into each server. The authors say the mechanism scales but the topology does not; with N agents against M servers, direct MCP runtime ARN holding becomes a wiring matrix, and every new tool touches every agent that needs it. Part 2 is framed as replacing that per-agent wiring with a controlled front door.
Unclear The excerpt does not give the migration steps, Gateway policy configuration, or quantified operational cost of replacing existing direct MCP runtime ARN wiring.
Next Check Part 2’s table for a concrete Gateway configuration step and confirm whether it removes per-agent MCP runtime ARN references.