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Zero Trust
Build a dual system security framework of zero trust inference and trusted inference.
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Topsec Big Data Analysis System

Intelligent big data governance analysis platform.

Topsec Big Data Analysis Introduction

Topsec Big Data Analysis System is a professional analysis system for massive security data, providing data governance, analysis modeling, data visualization, AI analysis and other capabilities. Based on big data technology framework, the system collects and aggregates heterogeneous data from multiple sources, cleans and transforms them, enriches them with information, adopts ETL mechanism for information extraction, establishes multi-level and multi-topic data warehouse, flexibly sets up data analysis model through rich analysis operator base, accumulates security experience in analyzing and identifying attack behaviors, provides rich data display chart components, comprehensively displays the data analysis results, and integrates in-depth machine learning algorithms to enhance the intelligence of data analysis. It is capable of digging deeper from cluttered security data to find valuable security information and improve security operation efficiency.

Activity & Announcement
Product Advantages
Flexible big data framework

With built-in self-developed resource scheduling engine, the system flexibly links with third-party storage and computing frameworks such as message queue and distributed file system through API, message middleware agent and other interface modes; the system supports up to petabyte-level data storage capacity.

Multi-source heterogeneous data access

The system can fulfill multi-source heterogeneous security data collection through active and passive collection methods such as SYSLOG, file, JDBC, KAFKA and others. The system supports linkage with Topsec's own equipments and the flexible access of non-Topsec manufacturers' equipments with comprehensive access equipment types.

Vertical and deep analysis technology

Correlation analysis discovers threats through the correlation between data; behavioral analysis learns or predicts behavioral patterns from historical data, and then discovers abnormal behaviors in the current data; while deep analysis uses specific AI algorithms to detect threats. The 3 types of analysis engines form a vertical and deep analysis and detection means, with the built-in rich analytical models, providing the comprehensive and in-depth analysis of the cybersecurity threat behaviors.

Customizable analysis display

The system is built with a large multi-dimensional situational screen, as well as providing the ability to customize the screen with rich built-in charts. Drag or drop to custom indicators, charts, page layouts, and other elements.

Application
Scenario Description

With the deepening of the digital economy, enterprises have built a large number of IT resources such as network equipment, security equipment, and business systems according to their business needs. These IT resources have accumulated massive amounts of all kinds of data in operation, including data related to the operation of network infrastructure resources, data related to network security, data related to business, and so on, and these data are complicated and difficult to govern. Topsec Big Data Analytics System is able to provide data governance, analytical modeling, data visualization, AI analytics and other capabilities to help enterprises dig deeper into valuable security information from cluttered security data so as to improve security operation efficiency.

Solved Problems
  • Establish centralized data management and realize efficient governance of heterogeneous security data from multiple sources based on big data architecture.
  • Enhance data analysis means, and accurately identify network threats through correlation analysis, behavior analysis, deep analysis, intelligent analysis and other technical means.
  • Improve the efficiency of attack traceability and utilize knowledge graph technology to efficiently restore attack traceability information.
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