The rapid evolution of cyber threats has intensified the need for advanced educational frameworks that equip future professionals with the skills to tackle emerging challenges. Artificial Intelligence (AI) has become a transformative force in cybersecurity, offering enhanced threat detection, automated response mechanisms, and predictive analytics. However, integrating AI into cybersecurity higher education remains a challenge due to curriculum gaps, faculty expertise limitations, and resource constraints. This paper proposes a multi-dimensional framework to incorporate AI into cybersecurity education through hands-on training, faculty development, and curriculum restructuring. By leveraging AI-driven methodologies and industry collaborations, the framework aims to bridge the skills gap and prepare students for real-world cybersecurity challenges. The study highlights key strategies for improving workforce readiness and ensuring that graduates possess the competencies required to navigate the dynamic threat landscape effectively.
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