AI Agent 访问生产基础设施：以云原生权限为硬边界
Giving an AI agent access to production infrastructure is a very different probl…
Giving an AI agent access to production infrastructure is a very different problem from giving it access to a codebase.
让AI代理访问生产基础设施与让它访问代码库是非常不同的问题。
@NuphosAI (AI-Native DevOps Workspace) approaches this by making the cloud's own permission system the hard boundary.
@NuphosAI（AI原生DevOps工作空间）通过将云自身的权限系统作为硬边界来解决这个问题。
The agent assumes AWS IAM roles or GCP service accounts like another team member, then teams can narrow access further by session and require human approval before sensitive actions execute.
该代理像团队成员一样承担AWS IAM角色或GCP服务账户，然后团队可以通过会话进一步缩小访问范围，并在敏感操作执行前要求人工批准。
The agent can collect logs, metrics, deploy history, Kubernetes state, cloud resources and previous incident context, then propose what should happen next.
该代理可以收集日志、指标、部署历史、Kubernetes状态、云资源和以前的故障上下文，然后提出下一步应该做什么。
Sensitive actions can sit behind human approval, while the underlying access is still constrained by native IAM roles or service accounts.
敏感操作可以置于人工批准之后，而底层访问仍受原生IAM角色或服务账户的约束。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力