安全状态转变为人工智能状态 | 微软 Defender 如何管理 Copilot 执行 | Rahsi 框架™ 解读
📄 中文摘要
本文探讨了微软 Defender 在人工智能(AI)环境中的角色,特别是在 Copilot 执行过程中的重要性。作者指出,许多人将 AI 视为一个简单的提示层,但实际上,微软 Defender 在安全状态中扮演着更深层次的角色。它不仅仅是一个边缘的安全工具,而是一个执行上下文的基础,涵盖了端点、身份、电子邮件、SaaS 和云等多个方面。Copilot 在 Microsoft 365 中的操作并不会创建新的信任边界,而是在 Defender 已定义的安全框架内执行。这一观点强调了安全与 AI 之间的紧密联系,揭示了在现代数字环境中,安全治理如何影响 AI 的执行。
📄 English Summary
The Security State Becomes the AI State | How Microsoft Defender Governs Copilot Execution | A Rahsi Framework™ Interpretation
This article explores the role of Microsoft Defender in the context of artificial intelligence (AI), particularly its significance in the execution of Copilot. The author points out that many people view AI merely as a prompt layer, but in reality, Microsoft Defender plays a deeper role within the security state. It is not just a peripheral security tool; rather, it serves as the execution context fabric that encompasses endpoints, identity, email, SaaS, and cloud. When Copilot operates within Microsoft 365, it does not create a new trust boundary but executes within the security framework already defined by Defender. This perspective emphasizes the close relationship between security and AI, revealing how security governance influences AI execution in the modern digital landscape.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等