Product Overview

The Guotai Network Information Data Asset Surveying and Mapping Management System mainly conducts intelligent detection, data asset sorting, classification and grading, and surveying analysis of data sources within the enterprise intranet. It collects data samples and data storage structures, identifies, matches, and marks the collected samples based on data characteristics and recognition strategies, and forms data asset lists, important or sensitive data lists, data classification and grading lists, data asset surveying and analysis charts, etc., to assist enterprises in asset management and analysis, and to build a solid foundation for data analysis and data security management.

Features

Asset Management:Assist in data source sorting, access, and management, support big data components, databases, file systems, web business systems, support information filing and association for business systems, clusters, affiliated departments, responsible persons, etc., support connection testing and status tagging.

Asset detection:Support active detection of surviving data source information within the network, helping enterprises discover unknown or unregistered databases, big data components, file hosts, and other assets. Collect basic information such as IP, port, type, and version of detection data sources, and configure and implement filtering lists.

Data collection:Actively connect and access the target data source, slice and sample the data within the data source; Proactively accessing web systems, automatically crawling web data, configurable collection parameters, and supporting metadata collection for storing data sources.

Data recognition:Process and parse the collected data, use a data recognition engine, and combine sensitive recognition strategies to identify and match the parsed data, accurately locate sensitive and important data contained in the data, and mark their storage locations.

Data classification and grading:Based on the data classification and grading engine, the processed data is automatically classified and graded by analyzing data features and combining them with data classification and grading strategies. Support effective enterprises to customize classification and grading standards and strategies based on industry requirements and business status.

Data asset mapping:Using analysis engines to comprehensively analyze data sources, collect data, identify results, etc., to achieve comprehensive mapping of enterprise data assets, forming enterprise data asset maps, multidimensional statistical analysis views, asset analysis reports, asset lists, etc., to help enterprises comprehensively sort out data assets.

Application scenarios