
Login
WeChat Login
Open WeChat and scan the QR code
Scan successful
Do not refresh this page. Follow the prompts on your phone
Sugon will never ask you to transfer money. Beware of fraud
Your WeChat is not registered
Sugon will never ask you to transfer money. Beware of fraud
You can also follow the Sugon WeChat official account
Scan with WeChat to log in. Access materials more easily.
You have registered an account and
followed the WeChat official account
January 2025
Please complete the security check
Service Hotline:400-810-0466
Live Support, Online Repair, Warranty Inquiry, Device Binding, Complaints
Traffic visualization, big-data analytics, DPI, and anomaly cleaning for network situation awareness.

Layer and decouple data collection, processing, storage/analysis, and presentation to build open traffic big data infrastructure; share traffic data with third-party platforms via standard APIs for multidimensional application capability.

Comprehensively sense network posture across network (traffic, behavior, content), security, assets, and applications, enabling fine-grained intelligent O&M and stronger defense.

Can identify more than 18,000 common applications and protocols in 23 major categories; restore web pages, email, audio/video, images, and more; and can be custom-developed for different business scenarios to meet needs quickly.

The situational-awareness system is designed in three layers, i.e., three core subsystems: a traffic collection and processing system, a traffic big data analytics system, and a security situational-awareness system.
Traffic collection and processing system: Deeply process network-wide business traffic; use DPI and DFI to aggregate and split traffic, keep same-source same-destination, build flows, recognize application protocols, extract protocol metadata, perform fine-grained protocol recognition, produce fine-grained 5-tuple CDRs, and more.
Traffic big data analytics system: The whole system keeps six months of full-traffic session information, can backtrack historical data, and can train and analyze models with AI and big data analytics to predict abnormal traffic.
Security situational-awareness system: Security situational awareness, through full-traffic collection and processing combined with big data and AI, builds a security baseline and can discover anomalies such as abnormal traffic, off-site logins, and violations; network-traffic situational awareness can sense traffic posture from five layers: link, subnet, zone, user, and application; network-behavior situational awareness can perform fine-grained business recognition of Layer 2–7 protocols on the network.
Obtain threat and risk information across multi-site branches to provide a more complete network picture and protect important information assets.
Build situational awareness from inside the architecture for internal security operations, discovering important threats and security events around the clock and putting security capability into practice.
From daily security operations, monitor the security status of valuable internal core assets and business systems to discover threats and internal anomalies.

津公网安备 12011602000521号
津公网安备 12011602000521号



Register /