AI-Powered Network Appliances for Proactive Malware Detection and Classification - Lanner Electronics | Network Appliance | uCPE SD-WAN| MEC Server | Intelligent Edge Appliance

Nowadays, cybersecurity companies are increasingly turning to AI and machine learning to enhance malware detection, as traditional signature-based methods prove insufficient against evolving threats. The AI engine analyzes vast amounts of security data to identify trends, anomalies, and predict potential threats, enabling proactive measures. It establishes a baseline of normal behavior and monitors for deviations, facilitating early detection.

Proactive Prevention

AI enables the in-depth analysis of vast amounts of security data, identifying trends and anomalies that could easily escape manual detection. Utilizing AI for continuous monitoring and analysis of network traffic provides immediate insights into potential security threats, enhancing the ability to respond swiftly.

AI can anticipate threats by identifying vulnerabilities, allowing businesses to implement preventative measures and reduce the risk of attacks. By detecting potential threats early and continuously learning from new threats, organizations can update their models to improve future detection accuracy and take preemptive actions such as patching software vulnerabilities or strengthening security protocols.

Behavioral Analysis

AI creates a behavioral model based on historical network activity, enabling the detection of deviations that indicate potential threats. Continuous monitoring for deviations from established baselines allows for quick detection and neutralization of threats, including unusual login attempts, abnormal data access patterns, or other suspicious activities.

AI analyzes behaviors and tactics to identify an attacker’s intent, providing a deeper understanding of potential threats. Recognizing patterns associated with specific attack strategies enables AI to predict future actions and adjust defenses accordingly.

AI-powered Network Security Appliances

Lanner offers AI-powered network security appliances tailored for machine learning workloads in malware detection.

The NCA-6250 series, featuring dual Intel® Xeon® 6 processors with Efficient-cores, stands out in enterprise security network computing. Offering up to 144 cores per socket, the Intel® Xeon® 6 processor with E-cores delivers up to 5.8 times higher NGFW performance and 3.5 times higher performance per watt (socket power) compared to 2nd Gen Intel® Xeon® 6252N processors on Next Gen Firewall solutions. With PCIe 5.0 I/O bandwidth, it empowers organizations to effortlessly manage advanced Next Gen Firewall tasks such as deep packet inspection, threat detection, and prevention.

Tailored for Network AI applications, the NCA-6250 includes built-in accelerators like Intel® QuickAssist Technology and Intel Software Guard Extensions (Intel® SGX), ensuring exceptional performance to meet the demands of modern network security and cryptographic acceleration.

For GPU acceleration, the NCA-6250’s dual PCIe expansion slots make it versatile for mainstream GPU or FPGA cards, enabling accelerated deep learning algorithms to identify patterns associated with known cyber threats, anomalous behaviors, and zero-day vulnerabilities. The NCA-6250 can accommodate 2 FHHL or 1 FH3/4L GPU cards, supporting NVIDIA GPUs such as the NVIDIA A10, L4, and L40s cards.

For network acceleration, NCA-6250 features 8 NIC module slots supporting the N2S-MBF301 Smart NIC card with 2x 200GbE ports powered by the NVIDIA BlueField 3 DPU and ConnectX-7 Chipset.

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