关键词: 数据流动, 数据主权, 数据运营安全, 人工智能, 风险评估, 合规检查, 数据沙盒

Abstract:  Under the background of digitization, data has become the core competitiveness of the competition between countries and enterprises, and data flow is the normal trend of domestic and international development, including cross-border flow between countries, data sharing between enterprises, data processing within enterprises, and personal information interaction between individuals and organizations. In the whole process of data flow, it is a top priority to grasp data sovereignty. No matter at the national level, enterprise level or individual level, we can obtain national security, enterprise interests and individual legitimate rights only when we master data sovereignty. In the period of digital transformation, how to protect data sovereignty at the level of data security is a difficult problem that cannot be solved by existing technical means. Through the research on DataSecOps, security attributes are embedded in the data flow and with the data as the core object, risk assessment and compliance check are carried out on data based on AI, and data sandbox is fused, DataSecOps technology is applied to data sovereignty protection, and data sovereignty is guaranteed from the data security level.

Key words: data flow, data sovereignty, DataSecOps, AI, risk assessment, compliance check, data sandbox