Show HN：適用於 AI 代理和 IAM 的基於代理的存取控制 (AGBAC)
這篇 Hacker News 文章介紹了基於代理的存取控制 (AGBAC)，這是一種旨在解決 AI 代理所帶來的身份和存取管理 (IAM) 複雜性之新模型。AGBAC 確保 AI 代理和人類使用者都必須獲得授權才能執行動作，進而朝向零信任架構邁進。
https://github.com/kahalewai/agbac
AI agents broke one of the oldest assumptions in identity. For as long as I can remember, IAM has assumed a simple model: One action → one subject → one authorization decision. That worked when only humans were accessing things. But AI agents changed everything. So now we an evolution of Access Control Models (RBAC, PBAC, ABAC, now AGBAC).
When an AI agent acts on behalf of a human, there are two identities involved: The agent executing the request and the human whose authority triggered it. From a security standpoint, the correct rule becomes obvious: An action should only be allowed if both the agent and the human are authorized to perform it. Not agent or human. Agent and human.
The good news? This is now solved. And it works with your existing IAM solution protecting your enterprise today. Do you want to start enforcing (and logging) both agent and human authorization today? Or move one step closer to Zero Trust alignment within AI agent architectures? Check out AGBAC and drop a star if you think this is awesome!
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