Stock Abbreviation : Topsec      Stock Code : 002212
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Big Data Security Analysis and Operations Solution

Topsec provides users with an integrated big data security solution for data governance, security analysis, and security operations based on a big data technology architecture.

Background

The fast-growing Internet, mobile Internet and IoT have undoubtedly ushered in an era of big data, where the value of data is recognized widely, and data resources are seen as strategic assets of enterprises. Enterprises have to think about how to store such a huge amount of data, how to collect and standardize such a large volume of security logs, how to find valuable information among big data, and how to analyze data and display analysis results quickly.
Activities & Announcements
Solution

This solution is implemented through Topsec Intelligent Big Data Analysis Platform built on the big data infrastructure. The platform uses ETL components to pre-process data and governs data in compliance with industry-specific data governance standards and requirements for security data governance. It ensures the integrity and availability of collected data through data analysis, standardization, enrichment, normalization, filtering, completion, and scrubbing. AI technology is applied on this platform for cybersecurity analysis. Leveraging big data analytics techniques, such as correlation analysis, behavior analysis, and AI analysis, the platform can collect evidence and trace sources of threats in a quick, accurate way based on hundreds of predefined scenarios and analysis rules. These threat monitoring and discovery capabilities help to improve the efficiency of security operations.

Value to Customers
Multi-source Data Acquisition
The solution identifies multiple data access protocols and uses data stream aggregation technology to collect and summarize over 100 types of security data from different sources and in different structures.
Big Data Storage
The solution leverages big data distributed file storage and retrieval technology of Topsec to provide PB-level data storage and retrieval of several billion data entries in seconds.
Data Mining and Analysis
With years of practical experience in real-world applications, Topsec leverages its capabilities of internal correlation analysis, behavior analysis, and AI analysis, as well as external threat information, to dig deep into attack logs and threat logs among a huge amount of data, thus defining various scenarios for security analysis. These scenarios will improve the efficiency of security operations in enterprises.
Quick Threat Response and Handling
Using the Security Orchestration, Automation and Response (SOAR) technology, this solution orchestrates threats, actions, and commands in scripts, and follows standard processes to implement automatic response and handling of security incidents.
Applications

For customers facing fragmented, messy, nonstandard, and inconsistent data, Topsec's big data platform provides easy-to-use, easy-to-get, and high-quality big data governance service to help them improve the big data processing capabilities and explore the value of big data. Various organizations and enterprises can use big data for analysis and decision-making, thus enhancing their operational capabilities and quality of customer service.

Using big data, machine learning, and AI algorithms, and analysis engines that provide visualized correlation analysis, behavior analysis, and AI analysis, the solution collects evidence and traces sources of threats in a quick, accurate way based on hundreds of predefined scenarios and analysis rules. These threat monitoring and discovery capabilities help to improve the efficiency of security operations.

Although big data analytics technology improves the capability to detect security incidents, the slow manual analysis, judgment and handling steps have become the final bottleneck of security operations. The SOAR technology replaces manual operations with automated intelligent responses, addressing the "last mile" challenges of security operations.

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