Genie’s intelligent anti-DDoS solution seamlessly integrates the capabilities of GenieATM and GenieAnalytics. GenieATM collects diverse network data from various devices, leveraging its advanced network-behavior-based engine to detect and mitigate cyber threats. In addition to using preset formulas for traffic forecasting, Genie’s solution employs AI/ML techniques, such as the ARIMA model, to learn dynamic traffic baselines. Unlike static, user-defined methods, ML adapts to evolving network conditions by analyzing historical data and detecting complex patterns. This significantly improves detection accuracy, reduces false positives, and enables real-time, intelligent responses to traffic anomalies.

GenieATM processes heterogeneous network information from multiple data sources and applies AI/ML models to identify potential botnet threats. Threat intelligence, such as the Command & Control (C&C) server list, is shared and updated periodically through Genie’s exclusive cloud service, ensuring network sites have up-to-date protection across different locations.

Upon detecting an anomaly, GenieATM initiates mitigation actions, and the related anomaly data can be passed to GenieAnalytics for detailed reporting and analysis. This integrated solution empowers network operators to identify, analyze, and mitigate DDoS threats in real-time, providing a robust defense against evolving cyber threats.