AWS 與 Intuit 研究團隊提出零信任安全框架，保護模型上下文協議免受工具中毒和未授權訪問
隨着人工智能（AI）系統愈加依賴實時與外部數據源和操作工具的交互，這些系統現在不僅需要進行動態操作，還需在不斷變化的環境中做出決策，並訪問實時信息流。爲了實現這些功能，AI 架構正逐漸演變爲採用標準化接口，以便連接模型與服務和數據集，促進無縫集成。其中，模型上下文協議(MCP)的引入，允許 AI 模型直接與雲平臺、開發環境和遠程工具進行交互，從而實現超越靜態提示的能力。然而，這種新能力帶來了顯著的安全隱患。當 AI 被賦予執行任務或基於來自各種外部來源的
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