Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

Two projects from the Arab World exemplify the potential of AI-driven approaches to disaster response and displacement monitoring.

A Nigerian-born cybersecurity professional, Grace Durotolu, has called for the adoption of an AI-driven national cybersecurity policy to safeguard the country’s critical infrastructure against rising ...