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PRODUCT CODE : NSF-1100A-I
Neural-X is at the center of a sophisticated web of Sangfor-developed network security elements on Sangfor NSF-1100A-I. As a cloud-based intelligence and analytics platform powered by Artificial Intelligence (AI), Neural-X powers and expands security detection capabilities for Sangfor's network, endpoint, and security-as-a-service offerings. Neural-X on Sangfor NSF-1100A-I contains dozens of interconnected components designed to work together seamlessly to keep your system both safe and secure including Engine Zero, threat intelligence, deep learning, sandboxing, and botnet detection.
Sangfor Engine Zero is a malware detection engine on Sangfor NSF-1100A-I that built upon powerful artificial intelligence technology and is continuously enhanced by a team of data scientists, security analysts, and white hat researchers. This engine on Sangfor NSF-1100A-I is one of several malware inspection engines embedded in Sangfor’s security products and the Neural-X cloud threat intelligence platform. Sangfor NSF-1100A-I is highly e cient and utilizes minimal resources. Only such e ciency can provide malware inspection for both known and zero-day attacks on the network gateway without impacting performance. In a recent ransomware test conducted by AV-Test, Sangfor Endpoint Secure, powered by Engine Zero, achieved a perfect 100% success rate across all the tests, demonstrating the engine's ability to detect advanced real-world threats.
Sangfor ZSand is a virtual dynamic execution technology (sandboxing) designed to detect unknown malware. Sangfor ZSand detonates suspected malware in a safe and controlled environment and monitors the abnormal behaviors of these files for future recognition and prevention. In recent tests, Sangfor NSF-1100A-I has accurately detected ransomware families including GandCrab, Zusy, GlobeImposter, and LockCrypt. ZSand shares all data with Neural-X threat intelligence making it possible to identify and study malware with no known previous signature, reducing the risk of future zero-day attacks, detection, identification, and elimination within Neural-X
