代理式架構中的安全邊界 (Security boundaries in agentic architectures)
Original: Security boundaries in agentic architectures
In the current evolution of AI applications, AI agents have advanced from simple text generation to complex systems capable of autonomous…
隨著 AI Agent（代理）逐漸具備自主執行工具與呼叫 API 的能力，傳統的安全防護已不敷使用。Vercel 提出在代理式架構中建立「安全邊界」的關鍵指引，強調必須實施執行期沙盒化（Sandboxing）、嚴格的最小權限原則（Least Privilege），以及在關鍵決策中引入「人工確認（Human-in-the-loop）」機制，以防止提示詞注入與越權操作。
In the current evolution of AI applications, AI agents have advanced from simple text generation to complex systems capable of autonomous planning, calling external tools (tool calling), and executing system operations. However, this autonomy also introduces unprecedented security challenges. Vercel explores in depth how to design and implement "security boundaries" in agentic architectures in this article.
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