企业数据出境动态风险评估与安全监管体系研究OA

The demand for cross-border data flow has grown significantly with the globalization of the digital economy,and the security risks related to data,such as national information,corporate secrets,and personal privacy,have gained much attention.To mitigate the risks of outbound data transfer,this article evaluates the risk factors from the regulatory perspective and further forms a risk assessment and security supervision system framework that combines monitoring and sampling mechanisms based on the outbound data flow model.The whole-chain risk supervision approach,which includes risk pre-assessment based on multi-factor merging analysis prior to the business,risk adjustment and response based on statistical monitoring and sampling mechanism during the business,and post-business disposal and supervision optimization of illegal behaviors,can be strengthened in order to regulate the data outbound behavior of cross-border enterprises.The study makes recommendations for enhancing the technical framework of outbound data transfer security supervision,which is crucial for fostering the future growth of the digital economy in a high-caliber and sound manner.