企业数据分类分级自动化路径研究

Research on automated paths for enterprise data classification and grading

数据分类分级自动化是提升企业数据分类分级效率、促进数据安全管理的重要手段。目前,针对数据分类分级自动化路径的研究还相对较少。结合数据分类分级工作流程,总结企业数据分类分级面临的主要问题挑战,对数据探测、数据预处理、敏感数据识别、分类分级打标等典型自动化技术进行分析,提出了企业数据分类分级自动化的框架和路径,为企业更加高效有序地开展数据分类分级自动化工作提供有效借鉴。

Automation of data classification and grading is an important means to improve the efficiency of enterprise data classification and grading and promote data security management.At present,there is relatively little research on automated paths for data classification and grading.This article combines the data classification and grading workflow to summarize the main problems and challenges faced by enterprise data classification and grading,analyzes typical automation technologies such as data detection,data preprocessing,sensitive data identification,classification and grading marking,and proposes an automation method for enterprise data classification and grading.The framework and path provide effective reference for enterprises to carry out data classification and grading automation work more efficiently and orderly.