Stock Abbreviation : Topsec      Stock Code : 002212
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Endpoint Security

AI-Empowered, Intelligently Guarded — Forging a Unified Smart Defense Ecosystem

Background

Amid the dual drivers of deepening digital transformation and rapid evolution of network technologies, endpoints, as the core carriers for data flow and business implementation, have seen their value and risks amplify simultaneously. Endpoints serve not only as critical touchpoints for enterprise digital operations but also as primary targets for cyberattacks, with security threats trending toward normalization, complexity, and stealth. The heterogeneity and dispersion of endpoint environments continuously increase the complexity and cost of operations and management. Intertwined risks such as malware propagation, targeted attack infiltration, and internal policy violations easily trigger sensitive data breaches, exposing enterprises to multiple harms including compliance penalties, reputational damage, and business disruption. Concurrently, attackers persistently exploit tactic chains like the host ATT&CK framework to conduct deep infiltration. Traditional perimeter defenses struggle to effectively block endogenous threats such as lateral virus spread and misuse of removable media, and they are even more incapable of achieving fine-grained control over host assets and full lifecycle security operations, revealing significant vulnerabilities in holistic security protection.

Relevant Policies
2021
The "Data Security Law of the People's Republic of China" officially came into effect on September 1, 2021, representing the first specialized law in China dedicated to data security. The law establishes fundamental systems such as the classified and tiered data protection system and the data security review mechanism. It clearly delineates the regulatory responsibilities of various regions and departments concerning data security. Its implementation signifies that China now possesses a robust legal framework in the field of data security, providing a fundamental legal basis for ensuring data protection.
2021
The "Personal Information Protection Law of the People's Republic of China" officially came into effect on November 1, 2021, marking the first specialized law in China dedicated to personal information protection. The law focuses on safeguarding the rights and interests of individuals in their personal information, establishes the basic principles and rules for processing such information, and imposes stringent regulations on its collection, usage, storage, transmission, and cross-border transfer. Its enactment fills a significant legal gap in the field of personal information protection in China.
2021
Information Security Technology—Baseline for Classified Protection of Cybersecurity (GB/T 22239-2019) is one of the core technical standards of China's Multi-Level Protection Scheme (MLPS), officially implemented on December 1, 2019. Building upon previous requirements and incorporating new technology application scenarios, this standard proposes graded security protection measures from both technical and management perspectives. It provides a unified and standardized technical basis for network operators to carry out security construction, rectification, and evaluation.
2017
As the fundamental law in the field of cybersecurity in China, the "Cybersecurity Law of the People's Republic of China" officially came into effect on June 1, 2017. The law established core legal systems including the Cybersecurity Multi-Level Protection Scheme and the Critical Information Infrastructure Protection Scheme. It clearly defines the security obligations of network operators, aiming to safeguard cybersecurity, uphold national sovereignty in cyberspace, protect national security, and safeguard public interests.
2021
The "Data Security Law of the People's Republic of China" officially came into effect on September 1, 2021, representing the first specialized law in China dedicated to data security. The law establishes fundamental systems such as the classified and tiered data protection system and the data security review mechanism. It clearly delineates the regulatory responsibilities of various regions and departments concerning data security. Its implementation signifies that China now possesses a robust legal framework in the field of data security, providing a fundamental legal basis for ensuring data protection.
Development Trend
The Local AI-Driven Intelligent Defense Capability Continues to Strengthen

Endpoint security products are increasingly offloading detection and analysis capabilities to the local device, utilizing AI models to identify anomalous behaviors, unknown threats, and advanced attack patterns. Local intelligence can significantly improve response speed, reduce reliance on cloud resources, and decrease bandwidth consumption, enabling endpoints to maintain highly effective protection even in offline or poor-connectivity environments.

EDR Capabilities Deepen, Enhancing Precision in Endpoint Threat Response

Endpoint Detection and Response capabilities continue to strengthen, enabling real-time identification of malicious activities through technologies such as behavior monitoring, process analysis, and file integrity verification. Deep integration between EDR and endpoint management enables automatic threat blocking, file isolation, and attack trail logging, assisting security teams in rapidly pinpointing issues and conducting root-cause analysis.

Data Security Capabilities Deeply Integrated with Endpoint Protection

Endpoint security products achieve deep integration of capabilities such as DLP, document encryption, sensitive content identification, and outbound control, enabling comprehensive, full-lifecycle protection of data from creation to transmission. Through behavioral auditing, intelligent blocking, and content analysis, they effectively prevent data leakage, meeting the requirements of the Data Security Law and industry compliance regulations.

Products Are Transitioning from "Feature Stacking" to a "Native Integrated Architecture"

New-generation endpoint security products adopt a unified agent, unified engine, and unified management platform to deeply integrate functions such as antivirus protection, vulnerability management, host intrusion prevention, threat response, and data leak prevention. The native integrated architecture reduces resource consumption, enhances stability, and significantly simplifies operations, maintenance, and policy management workflows.

Automated Orchestration and Widespread Adoption of SOAR Capabilities

Endpoint security products, based on frameworks such as ATT&CK, automatically identify attack chain phases and coordinate the execution of response actions including blocking, isolation, and log collection. SOAR capabilities significantly reduce manual intervention, accelerate incident response speed, and enable security teams to focus on higher-value analysis and optimization tasks.

Adaptation to the Xinchuang Environment Emerges as a Core Competitiveness

Integrated endpoint products must achieve comprehensive compatibility with domestic operating systems, chips, and the broader software/hardware ecosystem, providing capabilities such as vulnerability management, baseline hardening, and threat protection. Xinchuang adaptation is not merely a compliance requirement but also a crucial enabler for ensuring endpoint security, stability, and controllability throughout the process of domestic substitution.

Users' Pain Points
Fragmented Endpoint Security Systems Result in High Management Costs and Low Efficiency
Enterprises commonly deploy multiple endpoint security products, leading to issues such as Agent conflicts, inconsistent policies, and dispersed alerts. Operations personnel are forced to switch between multiple systems, resulting in high management complexity, slow response times, and difficulty in forming a unified security view.
Threats Exhibit Strong Stealth, Rendering Traditional Protection Methods Ineffective
Evolving threats such as malware, fileless attacks, and supply chain poisoning are difficult to detect with traditional antivirus solutions and rule-based policies. This results in a high volume of alerts with limited actionable information, often overwhelming security teams with numerous false positives and hindering timely identification of genuine risks.
Prominent Risk of Endpoint Data Leakage, Lacking Effective Control Measures
Employees frequently transfer data via email, instant messaging, cloud storage, removable media, and other channels, creating numerous and highly covert pathways for sensitive information leakage. Enterprises lack comprehensive auditing and blocking capabilities for data flows on endpoints, making it difficult to meet compliance requirements.
Complex Endpoint Assets, Numerous Vulnerabilities, and Challenging Patch Management
The large number of widely distributed endpoints, coupled with significant variations in system versions and software environments, makes vulnerability scanning and patch remediation time-consuming and resource-intensive. Traditional tools are complex to deploy and suffer from poor compatibility, resulting in low patch coverage and the persistence of security risks over extended periods.
Slow Security Incident Response, Heavy Reliance on Manual Intervention, and Low Handling Efficiency
Endpoint security incidents are often detected with delay, and there is a lack of automated blocking and isolation capabilities. Security teams must manually analyze logs, assess threats, and execute containment measures, resulting in cumbersome, time-consuming processes that increase the risk of lateral attack spread.
Stringent Security Compliance Requirements, Lack of Practical Implementation Measures
Faced with regulatory mandates such as MLPS 2.0 and the Data Security Law, enterprises lack clear implementation pathways and technical support. The complex configurations on the endpoint side make manual verification insufficient for covering all compliance items, leading to frequent issues during compliance audits and exposing organizations to the risk of penalties.
Technical System
The Integrated Terminal Intelligent Security Protection System adopts a "lightweight endpoint data collection + centralized platform management" distributed architecture. Utilizing a unified lightweight Agent as the core execution unit and integrating a unified policy engine with a centralized management platform, the system achieves native integration and full-domain collaboration of terminal security capabilities. This architecture deeply integrates core modules such as EDR (Endpoint Detection and Response), DLP (Data Loss Prevention), Endpoint Behavior Auditing, and Automated Threat Response, moving away from the traditional feature-stacking model. Through its unified data bus and engine architecture, the system significantly enhances both capability synergy and endpoint resource utilization. On the technical front, the system is equipped with a multi-dimensional threat detection engine based on machine learning. It collects comprehensive endpoint data—including process behavior, file operations, registry changes, network connections, and sensitive data flows—in real time. By establishing a normal behavior baseline and an attack behavior signature database, the system enables precise identification and real-time blocking of known and unknown threats, such as malware, fileless attacks, memory-resident malware, and targeted infiltration. For data security protection, the system employs content-aware and behavior-tracing technologies, integrating measures such as sensitive document leak traceability, dynamic watermarking, and outbound channel control to construct a full-lifecycle protection chain for sensitive data. This safeguards data security across all stages: creation, transmission, storage, and usage. Furthermore, leveraging the host ATT&CK framework, the system provides end-to-end visualization of attack chains and automatically triggers response actions like process termination, file isolation, lateral movement blocking, and log-based forensics. This establishes an automated security operations loop of "detection → analysis → response → traceability." With its built-in module for MLPS 2.0 baseline verification and compliance auditing, the system automatically performs configuration checks, vulnerability scanning, and remediation guidance, helping enterprises rapidly meet regulatory requirements under the Cybersecurity Law, Data Security Law, and other mandates. In summary, through its core technical path of "unified architecture, intelligent-driven operation, integrated data protection, and automated closed-loop", this system comprehensively enhances the visibility, controllability, and traceability of enterprise endpoint assets. It effectively defends against diverse security risks in complex threat environments, providing sustained and reliable endpoint security assurance for the stable operation of enterprise digital business.
Comprehensive Strength
Based on decades of practical cybersecurity experience, the Topsec Integrated Terminal Intelligent Security Protection System deeply integrates cutting-edge technologies such as AI, big data, and threat intelligence to build its core capabilities, establishing a domain-wide collaborative endpoint security framework. This system is meticulously aligned with the demands of digital transformation, incorporating active defense technologies including behavioral baseline modeling, virtual sandboxing, ransomware trapping, and virtual patching. It enables precise identification of known threats and unknown malicious activities on a full range of endpoints, including Windows, Linux, and domestic ecosystems. The system comprehensively integrates multidimensional functions encompassing virus detection and removal, vulnerability remediation, system hardening, data loss prevention (DLP), endpoint management and control, and risk posture visualization. By leveraging the ATT&CK framework, it achieves accurate threat identification and risk attribution, forming a complete security loop of "detection → response → audit → traceback." In the field of domestic ecosystem adaptation, the system demonstrates significant advantages. It has achieved deep integration with the HarmonyOS and its core modules have passed the Huawei Kunpeng Native certification. Furthermore, it offers comprehensive compatibility with mainstream domestic operating systems such as Kylin and UnionTech, as well as domestic CPUs including Loongson, Phytium, and Zhaoxin, fully unleashing the computational advantages of the domestic software and hardware ecosystem. Backed by its robust technological capabilities, related solutions have been repeatedly selected in centralized procurement projects for central state organs and major telecommunications operators, with comprehensive rankings consistently positioned at the forefront. To date, the system has been deeply deployed across 35 key industries including government, finance, and energy, providing comprehensive coverage for scenarios such as general office terminals and Xinchuang terminals. It precisely meets the diverse needs of both critical infrastructure and small-to-medium enterprises, constructing a robust, domain-wide endpoint security defense for the digital transformation across all sectors.