《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, accurate, 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 accordance with legal and regulatory requirements [6]. - The guidelines provide a basis for data security compliance, including applicable scope and definitions [6]. Group 2: Data Classification and Grading - Regular surveys of data conditions and security management systems are required to identify weak links in data protection [8]. - A comprehensive data inventory must be maintained annually, detailing data types, levels, scales, processing methods, storage locations, and usage [9]. - Data classification should be based on industry requirements, business needs, and data sources, with specific classification rules established [10][11]. - Data is graded into general, important, and core categories, 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 essential for effective data security [6]. - Internal approval processes, system security management, and disaster recovery plans are critical components of the data security management system [6]. Group 4: Data Lifecycle Protection - The guidelines cover data protection throughout its lifecycle, including collection, storage, usage, transmission, provision, and destruction [6][7]. - Specific measures for data transmission and sharing are outlined to ensure compliance with security standards [6]. Group 5: Risk Monitoring and Emergency Response - A framework for monitoring and reporting data security risks is established, including preemptive measures and emergency response plans [6]. - Regular risk assessments and the formation of assessment teams are necessary to evaluate data security risks [7]. Group 6: Data Export Security Management - Guidelines for the safe export of data, including assessments and compliance obligations, are provided to ensure adherence to legal requirements [6][7]. Group 7: Data Trading - The guidelines address the compliance requirements for data trading, ensuring that transactions are conducted within legal frameworks [6].