主权 AI 与云 AI：各国和地区的数据驻留要求
AI 训练数据、模型权重和跨境传输的数据驻留要求的国家级参考指南。涵盖欧盟、美国、英国、中国、印度、沙特、阿联酋、澳大利亚、巴西、加拿大、日本和韩国。
58% 的企业 AI 项目报告因数据驻留和合规问题而延迟。不是模型性能、不是硬件采购、不是人才短缺——是数据驻留。
快速参考表
| 地区 | 主要法律 | 跨境传输 | 隔离网络要求？ |
|---|---|---|---|
| 欧盟 | GDPR + EU AI Act | 需充分性决定或 SCCs | 否（但强烈建议本地） |
| 美国 | 行业特定 | 通常允许 | 仅限机密数据 |
| 中国 | PIPL + 数据安全法 | 受限——需政府安全评估 | 否（但实际需国内处理） |
| 印度 | DPDP Act 2023 | 限于政府批准的管辖区 | 否 |
| 沙特 | PDPL | 需充分保障措施 | 否 |
| 阿联酋 | 联邦法令 No. 45/2021 | 非政府数据需充分保障 | 政府数据需要 |
多管辖区问题
使用单一云 AI 平台同时处理来自多个管辖区的训练数据是合规问题。沙特数据不能离开沙特。印度数据可能不能离开印度。欧盟数据需要特定传输保障。
实际解决方案：在每个运营管辖区部署本地 AI 基础设施，本地处理本地数据。这是同时满足所有数据驻留要求的唯一架构。
本地数据准备不是偏好——对于多管辖区企业，它越来越成为监管要求。
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