Cross-Border Data Security from the Perspective of Risk Assessment

In the cross-border process of data, major issues such as national security and personal information security caused by complex processes and variable risk factors are gradually exposed. Based on the development status, this paper proposes a framework of cross-border data risk assessment model. The assessment framework not only considers the data protection capabilities of data controllers and data receivers, but also considers the impact of informed consent of data subjects on risk assessment results. The framework includes multiple evaluation modules such as data collection, data storage, etc., so that the framework can be updated and maintained at the module level in the future. This paper analyzes and extracts 18 important risk indicators in the six modules, as well as six potential risk events under cross-border data activities, to fully consider the possibility of potential risk accidents under each risk indicator. Finally, this paper analyzes the development needs of data cross-border risk assessment.