如何使用 Okta Cross App Access 和 Amazon Bedrock AgentCore 管理 AI 智能体访问权限
Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 1
- 谁
- AWS
- 引文
In this post, the first of two, you build a task agent on AgentCore runtime that acts for signed-in users through XAA and AgentCore Identity.
发生了什么
AWS 演示如何构建一个任务智能体，让它使用 Okta Cross App Access 和 Amazon Bedrock AgentCore Identity 代表已登录用户执行操作。本指南介绍如何注册智能体、通过由三个令牌组成的链传递授权决策，以及在 MCP 服务器中强制执行每位用户的权限。作者测试发现，移除用户的分配后，约 1 秒内就会阻止新请求，而已签发的访问令牌最长可持续 5 分钟。
推荐理由
本指南追踪 Okta 针对每位用户作出的授权决策如何经由 AgentCore 传递到 MCP 工具，并提供测得的撤销时效和故障案例，帮助团队评估这种模式在运维方面的权衡。
接下来读什么
查看这件事的完整进展AWS Shows How to Govern AI Agent Access with Okta and Amazon Bedrock AgentCore这件事到目前为止
AWS published a tutorial showing how to build a task agent that acts for signed-in users using Okta Cross App Access and Amazon Bedrock AgentCore Identity. The walkthrough passes authorization through a three-token chain and enforces each user’s permissions in MCP servers. In the authors’ tests, removing a user’s assignment blocked new requests within about one second, while already issued access tokens could remain valid for up to five minutes. The setup requires an AWS account with access to AgentCore and an Anthropic Claude model in Amazon Bedrock, plus an Okta organization with Cross App Access for AI agents and API Access Management. AWS says AgentCore charges are based on usage.
每天一封，跟上 AI 的重要变化
模型发布、价格变化、算力进展，附原始来源。免费，确认后开始发送，随时一键退订。 看一份往期日报 · 2026-11-06