《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, including risk assessment and data classification [6][5]. - The applicable scope of the guidelines covers various sectors within the industrial and information technology fields [6]. Group 2: Data Classification and Management - Data classification involves conducting regular surveys of data conditions, security management systems, and identifying 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 is categorized based on industry requirements and business needs, with specific classification rules established for different sectors [10][11]. Group 3: Data Lifecycle Protection - The guidelines outline the protection of data throughout its lifecycle, including collection, storage, usage, transmission, provision, and destruction [6]. - Each stage of data handling requires specific security measures to ensure compliance and protection against risks [6]. Group 4: Risk Monitoring and Emergency Response - The guidelines emphasize the importance of data security risk monitoring, early warning systems, and incident reporting [6]. - Establishing emergency response plans and conducting drills are crucial for effective data security incident management [6]. Group 5: Data Export and Transaction Management - The guidelines include provisions for the safe management of data exports, requiring assessments and compliance with legal obligations [8]. - Data transactions must adhere to established standards to ensure security and compliance [8].