Enterprise Firewall USG6650F Security AI Firewall with 8×10GE ports

As an enterprise egress firewall, it blocks external attacks such as DDoS attacks and malware.

It supports remote work and branch office interconnection through VPN functionality.

Deployed at the campus network boundary, it enables deep inspection of egress traffic and control of internet behavior, protecting student network security.

It safeguards patient data security, preventing data leakage or tampering.

It supports compliance requirements for information security standards, avoiding the risk of business downtime.

It establishes a secure tunnel through IPSec/SSL VPN, enabling encrypted data transmission between headquarters and branch offices.

Core selling points

Equipped with a 16-core 2.0 GHz CPU and 32GB ECC memory, it provides ample performance for enabling advanced security features such as intrusion prevention and antivirus. Standard dual power supply with 1+1 redundancy ensures stable operation even if a single power module fails, guaranteeing the continuity of network core or data center services. With an MTBF of up to 31.63 years, it offers carrier-grade reliability.

Optional hot-swappable SATA hard drives (up to 1920GB) are available, allowing for easy expansion of local log storage to meet audit compliance requirements.

As a member of the F series, it features a built-in AI engine with an unknown threat detection accuracy exceeding 99%. It integrates intrusion prevention (IPS), antivirus (AV), URL filtering, and other functions, and can interact with cloud sandboxes to provide protection against advanced malware (APTs). It supports the identification of over 6000 network applications, with access control precision reaching the application function level.

It supports various VPN technologies such as IPSec VPN, SSL VPN, and GRE, and also supports Chinese national cryptographic algorithms. It supports service-based policy routing, and in multi-exit scenarios, it can intelligently select routes based on various load balancing algorithms to improve link resource utilization.