微软用合成企业环境测试 Copilot，规避客户数据隐私风险
微软研究院搞了个新平台，能凭空造出带员工、邮件、会议的假企业环境，专门拿来测 Copilot，不用碰客户数据。做企业 AI 产品评测、担心隐私合规的团队可以看看他们的做法。
微软研究院开发了 Industry Evaluation Data Generation Platform，专门用于在不接触真实客户数据的前提下评估 Copilot。该平台生成的合成企业环境包含模拟员工、会议、邮件、文档，以及行业专属的工作流，模拟真实办公场景的复杂度。
借助这些环境，微软可以对 Copilot 进行大规模评估，覆盖多种业务情景，而无需使用真实企业数据。这解决了 AI 助手评测中的核心矛盾：测试需要贴近真实业务的数据，但直接使用客户数据会带来隐私和合规风险。
这一思路对开发者和企业评测团队有借鉴意义——用合成数据构建评测环境，正在成为企业级 AI 产品验证的重要手段。
How do you test Copilot against real-world business complexity without exposing customer data? Microsoft researchers created a platform that generates synthetic enterprise environments, complete with simulated employees, meetings, emails, documents, and industry-specific workflows. These environments let Microsoft evaluate Copilot at scale in realistic business scenarios while preserving customer data privacy. Read about the Industry Evaluation Data Generation Platform: msft.it/6011ahGkZ
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Microsoft, Copilot, 合成数据, 企业评测.
Source attribution: curated from Microsoft Research (@MSFTResearch).
