Topsec Intrusion Detection System

It detects a wide range of botnet-related activities including botnets, Trojan command-and-control (C&C), worms, and cryptomining. The system can uncover botnets by analyzing abnormal communications with control hosts, monitor unauthorized server external connections and covert tunnels, and supports evidence collection and event logging of these anomalous behaviors.

Combining multidimensional detection methods with detailed, comprehensive log recording, TopSentry enables rapid and effective botnet host identification, minimizing the associated risks.

TopSentry features a locally embedded threat intelligence library, providing standalone and reliable threat intelligence capabilities without reliance on third-party platforms. The library contains over 8 million highly reliable intelligence entries across diverse types such as malicious IPs, URLs, domains, and file hashes.

This capability significantly enhances threat detection efficiency, helps enterprises gain a comprehensive understanding of the threats facing their network information systems, and provides a robust reference for threat analysis.

Topsec maintains a professional security research lab and an independently developed rule library. During rule library updates, the system seamlessly switches to a backup library for continuous threat monitoring. Once the update is complete, it automatically transitions to the new library.

This process ensures no interruption, delay, or perceptible impact on the customer's network operations, achieving truly seamless detection capability throughout the upgrade cycle.

TopSentry integrates multiple detection functions—including attack, web security, DDoS, weak password, and brute-force cracking detection—to deliver comprehensive, in-depth threat analysis.

It employs a combination of techniques such as protocol analysis, pattern matching, statistical analysis, and traffic anomaly monitoring to perform deep inspection of network intrusion behaviors across Layers 2 to 7, accurately identifying over 10,000 types of network attacks.

Additionally, the system records and retains detailed attack event information and incorporates robust anti-evasion capabilities to detect and thwart evasion-based attacks at their root.