Bridging the Cybersecurity Talent Gap

AI-Driven Learning and Industry Collaboration in Private Institutions

Abstract

This research-in-progress paper examines innovative approaches to addressing the cybersecurity talent gap through AI-driven learning methodologies and strategic industry collaborations within private educational institutions. The presentation explores how artificial intelligence can enhance cybersecurity education through personalized learning pathways, realistic simulation environments, and automated assessment systems. The session will highlight successful models of industry-academia partnerships that provide students with relevant skills, practical experience, and direct pathways to employment in this high-demand field.