Abstract: This paper aims to propose a design of a compliance detection configuration system for diverse data. The system meets the compliance needs of different data types and industries through customizable rules and customized functions. In the system design, corresponding detection rules are designed for each document type to ensure the compliance of documents during storage, transmission, and processing. In addition to document type compliance detection, the system also considers the software and hardware installation in the terminal device and the compliance of policies related to account settings. The system also supports sensitive data identification, multilanguage support, automated processing, visualization and reporting functions. In addition, considering key factors such as privacy protection and security, a relatively comprehensive, efficient, and secure tool is designed for compliance detection and management of diverse data.

Key words: diverse data, data security, privacy compliance, sensitive data identification, classification and grading

摘要： 旨在提出一种面向多样性数据的合规检测系统的设计.该系统通过可配置的规则和定制化功能，满足不同数据类型和行业的合规性需求.在系统设计中，针对每种文档类型都设计了相应的检测规则，以确保文档在存储、传输和处理过程中的合规性.除了文档类型的合规性检测，系统还考虑了终端设备内的软件与硬件安装情况以及账户设置相关策略的合规性.系统也支持敏感数据识别、多语言支持、自动化处理、可视化和报告功能，此外，考虑隐私保护和安全性等关键因素，设计出一种全面、高效、安全的工具，用于多样性数据的合规性检测和管理.

关键词: 多样性数据, 数据安全, 隐私合规, 敏感数据识别, 分类分级