数据分类分级
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新华财经晚报:事关金融信息服务数据分类分级 国家网信办公开征求意见
Xin Hua Cai Jing· 2026-01-24 11:41
Domestic News - The National Internet Information Office, in collaboration with relevant departments, has drafted the "Guidelines for the Classification and Grading of Financial Information Services Data" to enhance data security in financial services, now open for public consultation [1] - The State Administration for Market Regulation reported that by 2025, China will have established 1,139 new national standard substances, a year-on-year increase of 61.8%. Among these, 67 are first-level national standard substances, accounting for 5.8%, with a year-on-year growth of 21.8%, while 1,072 are second-level, making up 94.2%, with a year-on-year increase of 65.2% [1] Industry News - The China Coal Industry Association announced that by 2025, the national coal production from large-scale enterprises is expected to reach 4.83 billion tons, a year-on-year increase of 1.2%, setting a new historical record [2] - Beijing's measures to promote the development and utilization of commercial satellite remote sensing data from 2026 to 2030 aim to strengthen diverse business entities. The plan encourages internet and geographic information companies to develop value-added services based on commercial satellite data and supports mergers and acquisitions in the satellite data industry [2] - By 2025, Beijing is projected to open over 1.5 million square meters of new commercial space, enhancing consumer supply and establishing new consumption landmarks. This initiative includes the development of key commercial projects and unique pedestrian streets to balance commercial facility distribution across the city [3]
银行保险资管业协会发布《保险资产管理行业数据分类分级指南》
Ge Long Hui· 2025-12-31 03:44
Core Viewpoint - The China Banking and Insurance Asset Management Association has released a guideline for data classification and grading in the insurance asset management industry, effective from January 1, 2026, aimed at enhancing data security management standards [1] Group 1: Guideline Overview - The guideline, titled "Data Classification and Grading Guidelines for the Insurance Asset Management Industry" (T/BIAMAC 001—2025), outlines principles, methods, specific rules, implementation steps, and application scenarios for data classification and grading [1] - It is designed for insurance asset management institutions to manage data generated and used in their business and operational processes [1] Group 2: Objectives and Implementation - The guideline aims to provide a scientific, practical, and operable method for data classification and grading, establishing a unified data directory for the industry [1] - The implementation of this guideline is expected to enhance the standardization level of data security management within the insurance asset management sector [1]
国家能源局:存储处理能源行业重要数据的信息网络应落实三级及以上网络安全等级保护要求
智通财经网· 2025-12-12 04:33
Core Points - The National Energy Administration has issued the "Energy Industry Data Security Management Measures (Trial)" to enhance data security management in the energy sector, effective from July 1, 2026 [1][21] - The measures aim to regulate data processing activities, prevent data security risks, and protect the legitimate rights and interests of individuals and organizations [3][4] Group 1: Data Classification and Responsibilities - Energy industry data is classified into three levels: general, important, and core, based on importance, precision, scale, and security risks [6][7] - The National Energy Administration is responsible for overseeing data security in the energy sector and guiding provincial energy authorities in their supervisory roles [6][8] - Energy data processors must identify and compile a directory of important data and report it to the relevant provincial energy authorities [9][10] Group 2: Data Protection Requirements - Data processors must establish a comprehensive data security management system and conduct regular training on data security [12][13] - Important and core data must be stored and processed with at least a level three network security protection requirement, with additional protections for critical information infrastructure [10][11] - Data processors are required to conduct annual risk assessments of their data processing activities and report findings to provincial energy authorities [14][15] Group 3: Monitoring and Emergency Response - Provincial energy authorities and state-owned enterprises must enhance their monitoring and emergency response capabilities for data security incidents [27][28] - In the event of a data security incident, immediate remedial actions must be taken, and relevant authorities must be notified [16][17] - Major data security risks must be reported to the National Energy Administration within one working day [30][31] Group 4: Legal Compliance and Enforcement - The National Energy Administration and provincial authorities will supervise compliance with data security regulations and can impose penalties for violations [32][34] - Violations of the measures may lead to administrative penalties or criminal prosecution if they constitute a crime [34]
国家数据专家咨询委员会(应用组)围绕“数据要素跨境流动互信机制”开展深入研讨
news flash· 2025-07-14 03:58
Core Viewpoint - The National Data Expert Advisory Committee (Application Group) held an internal exchange seminar focusing on the "Cross-Border Flow Trust Mechanism for Data Elements" to address challenges and propose solutions for data cross-border flow [1] Group 1: Technical Recommendations - A unified data identification system based on domain name systems is recommended to enhance data management [1] - The application of privacy computing and other digital technologies is suggested to ensure "data is usable but invisible" [1] Group 2: Regulatory Recommendations - Active participation in the formulation of international rules is encouraged to deepen international cooperation on cross-border data regulations [1] Group 3: Policy Recommendations - The implementation of data classification and grading is advised, along with pilot projects to explore differentiated management paths [1] - A "combined management and release" policy environment for cross-border data flow is proposed [1]