《工业和信息化领域数据安全合规指引》.pdf

Core Viewpoint - The article discusses the "Guidelines for Data Security Compliance in the Industrial and Information Technology Sector" released by the Ministry of Industry and Information Technology, which provides practical guidance for data processors to conduct comprehensive and standardized data security compliance management, enhancing the data protection capabilities of enterprises [1]. Group 1: Overview of Data Security Compliance - The purpose of data security compliance construction is to ensure that data processing activities are conducted in a lawful and secure manner [6]. - The guidelines provide a basis for data security compliance, outlining the applicable scope and definitions relevant to data security [6]. Group 2: Data Classification and Grading - Regular surveys of data conditions, security management systems, and risk monitoring capabilities are essential to identify weak points in data protection [8]. - A comprehensive data inventory should be maintained annually, detailing data types, levels, scales, processing methods, storage locations, and usage [9]. - Data should be classified based on industry requirements, business needs, and data sources, with specific classification rules established for different sectors [10][11]. - Data is graded into three levels: general data, important data, and core data, with identification rules based on national security and industry development [13][14]. Group 3: Data Security Management System - Establishing a data security organizational structure and management system is crucial for effective data protection [6]. - Key components include permission management, internal approval processes, system security management, and disaster recovery [6]. Group 4: Data Lifecycle Protection - The guidelines emphasize the importance of protecting data throughout its lifecycle, including collection, storage, usage, transmission, and destruction [6][7]. - Specific measures should be taken for data transfer and processing, ensuring compliance with relevant regulations [6]. Group 5: Risk Monitoring and Emergency Response - Continuous monitoring and early warning systems for data security risks are necessary to identify and address potential threats [6]. - Emergency response plans should be developed and regularly tested to ensure readiness in the event of a data security incident [6]. Group 6: Data Export Security Management - Guidelines for assessing the security of data exports and establishing compliance obligations when handling personal information are outlined [6][7]. Group 7: Data Transactions - The guidelines address the compliance requirements for data transactions, ensuring that all data exchanges are conducted lawfully and securely [6].