摘要
数字经济时代,数据成为经济高质量发展的重要引擎。鉴于当前传统企业数据的封闭式、静态保护管理模式无法满足数字经济时代的动态发展要求,因而数据合规成为兼顾发挥数据流通价值和企业数据安全动态保护,促进数字经济发展繁荣的有力手段。新形势下,企业数据安全保护合规风险包括两方面:一是管理层面,企业违反企业数据安全处理规则而引发的合规风险;二是法律义务层面,企业不履行企业数据安全保障义务而引发的合规风险。企业数据安全合规体系的搭建需要遵循数据分类分级分层保护、数据全生命周期安全保护理念,辅之“技数赋能”识别企业数据安全合规义务和合规风险,进而实现对企业数据安全全方位、立体化保护。
In the era of digital economy,data has become an important engine for high-quality economic development.Given that the current closed and static data governance model of traditional enterprises cannot meet the dynamic development requirements of the digital economy era,data compliance has become a powerful means to balance the value of data circulation and dynamic protection of enterprise data security,promoting the development and prosperity of the digital economy.In the new situation,the compliance risks of enterprise data security protection include two aspects:firstly,at the management level,the compliance risks caused by the violation of enterprise data security processing rules by the enterprise;Secondly,at the level of legal obligations,compliance risks arising from the failure of enterprises to fulfill their data security obligations.The construction of an enterprise data security compliance system needs to follow the concepts of data classification,hierarchical protection,and full lifecycle security protection,supplemented by“technological empowerment”to identify the compliance obligations and risks of enterprise data security,thereby achieving comprehensive and three-dimensional protection of enterprise data security.
作者
徐辉
龚逸
Xu Hui;Gong Yi(School of Law,Xiangtan University,Xiangtan 411105,China)
出处
《科技创业月刊》
2024年第7期109-113,共5页
Journal of Entrepreneurship in Science & Technology
基金
国家社会科学基金项目(17BFX028)。
关键词
数据合规
企业数据安全治理
数据全生命周期保护
数据分类分级分层
技数赋能
Data Compliance
Data Security Governance
Data Life Cycle Protection
Data Classification,Grading,and Layering
Technical Empowerment