The system adopts DPI/DFI fusion recognition technology to conduct in-depth analysis of user traffic, enabling precise deep identification of embedded application behaviors. Preloaded with over 5,000 applications, it supports fine-grained application control based on specific application scenarios.

The system supports a variety of identity management methods, including local authentication, RADIUS authentication, WeChat authentication, and visitor verification. It enables identity-based resource access control for both external remote users and local internal users, and facilitates the rapid deployment of lightweight zero-trust perimeter security solutions.

In addition to effectively managing user internet activities, the system also delivers a full suite of capabilities including network access control, intelligent routing, load balancing, intrusion detection and prevention (IDP), and virus protection. It also establishes robust perimeter security defenses to effectively safeguard the security of the underlying network infrastructure.

It supports security analysis based on network tags, user identities, geographic locations, and assets—covering attack types and risk postures. The system also visualizes attack chain views and enables centralized threat evidence collection.

By correlating and analyzing user accounts, behaviors, access devices, and timestamps, the system clearly and intuitively visualizes users’ internet behavior trajectories – empowering administrators to conduct more targeted and precise behavioral analysis.

The system supports one-click asset discovery, enabling users to quickly identify and manage digital assets via traffic learning, scan detection, endpoint linkage, and manual entry. It also facilitates unified asset security assessments for users based on attributes including department, business system, and asset criticality.