DDoS attacks are predominantly executed by botnets, with the true adversaries remaining anonymous and operating from the shadows. However, from the perspective of ISPs, cloud providers, and large-scale backbone networks, network administrators can gain a comprehensive view of the entire network and perform correlation analysis by monitoring router traffic (NetFlow), thereby identifying anomalous traffic behaviors.

This session will explore the implementation of AI intelligence for enabling comprehensive network traffic monitoring, rapid detection of DDoS attacks, and identification of botnet activities. We will look at how AI intelligence helps establish automated DDoS protection by precisely monitoring and analyzing normal and abnormal traffic.