数据安全风险及其管控技术方法研究

Research on the technologies and methods of security risk management for the data in the life cycle

数据在成为各国、各行业重要战略资源的同时,也面临着泄露、破坏、滥用等安全挑战。从数据全生命周期安全管控的核心和需求出发,分析了各阶段潜在安全风险,针对性地构建了涵盖分类分级、存储隔离、身份控制等在内的安全管控技术方法体系,为提升数据安全治理水平提供参考借鉴。

While data becomes a strategic resource for all countries and industries,it also faces security challenges such as leakage,destruction and abuse.Starting from the core and requirements of security risk management for the data in the life cycle,the article analyzes the potential security risks at each stage,specifically constructs a framework of technologies and methods that includes classification and grading,storage isolation,identity control,etc.,providing reference for improving the level of data security governance.