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金融信息服务数据 分类分级规则征求意见
Core Viewpoint - The National Internet Information Office, in collaboration with relevant departments, has drafted the "Guidelines for the Classification and Grading of Financial Information Service Data (Draft for Public Consultation)" to standardize data processing activities and enhance data security in financial information services [1][2]. Group 1: Data Classification - Financial information service data is categorized based on business attributes into three primary categories: business data, user data, and enterprise data [1]. - Business data is further divided into five secondary categories: financial market data, macroeconomic data, industry indicator data, organizational data, and information report data, which can be broken down into 52 tertiary categories including stock data, bond data, fund data, wealth management data, foreign exchange data, and commodity data [1]. - User data is classified into personal user data and institutional user data, with personal user data including basic information, transaction data, and biometric identification information, while institutional user data includes basic information and transaction data [1]. - Enterprise data is categorized into operational management data and system operation and maintenance data [1]. Group 2: Data Grading - The guidelines classify data into four levels based on its importance and sensitivity, which are core data, important data, general sensitive data, and general routine data [2]. - The classification is determined by analyzing factors such as data coverage, time span, accuracy, public status, and geographic location [2]. - Regular reviews and updates of data classification are mandated when there are changes in business attributes, importance, or potential harm [2]. Group 3: Industry Insights - Industry experts emphasize that the financial sector has a high sensitivity to information, and effective data security measures are crucial for ensuring financial safety [2]. - The classification and grading of data will help financial institutions clarify data security priorities, allocate resources effectively, reduce risks, and enhance security management levels [2].
国家网信办:金融信息服务数据分类分级规则征求意见
Core Viewpoint - The National Internet Information Office, in collaboration with relevant departments, has drafted the "Guidelines for the Classification and Grading of Financial Information Service Data" to enhance data security in financial information services, which is currently open for public consultation [1][2]. Group 1: Data Classification - Financial information service data is categorized based on business attributes into three primary categories: business data, user data, and enterprise data [1]. - Business data is further divided into five secondary categories: financial market data, macroeconomic data, industry indicator data, organizational data, and information report data, which can be detailed into 52 tertiary categories including stock data, bond data, fund data, wealth management data, foreign exchange data, and commodity data [1]. - User data is classified into two secondary categories: individual user data and institutional user data, with individual user data encompassing basic information, transaction data, and biometric identification information [1]. - Enterprise data is categorized into two secondary categories: operational management data and system operation and maintenance data [1]. Group 2: Data Grading - The guidelines classify data into four levels based on its importance and sensitivity, which are core data, important data, sensitive general data, and routine general data [2]. - The grading of data is determined by factors such as coverage, time span, accuracy, public status, and geographic location, and should be regularly reviewed and updated when there are changes in business attributes or potential harm [2]. - Industry experts emphasize that due to the high sensitivity of information in the financial sector, effective data security measures are crucial for ensuring financial safety, and the classification and grading will help financial institutions clarify data security priorities and allocate resources effectively [2].
金融信息服务数据分类分级规则征求意见
Group 1 - The core viewpoint of the news is the introduction of the "Guidelines for the Classification and Grading of Financial Information Service Data" to enhance data security in financial information services [1][2] - The guidelines categorize financial information service data into three primary categories: business data, user data, and enterprise data, with further subdivisions into nine secondary categories and sixty-six tertiary categories [1] - Business data is further divided into five secondary categories, including financial market data and macroeconomic data, which are then broken down into fifty-two tertiary categories such as stock data and bond data [1] Group 2 - The guidelines classify data into four levels based on its importance and sensitivity, ranging from core data to routine general data, considering the potential harm from data breaches [2] - Factors influencing data classification include coverage, time span, accuracy, public status, and geographic factors, with a requirement for regular reviews and updates of data classifications [2] - Industry experts emphasize the high sensitivity of information in the financial sector, stating that effective data security measures are crucial for ensuring financial safety, and that classification helps institutions prioritize data protection efforts [2]