Embedding Ai Competencies In A Cyber Security Graduate Program: Identifying Existing Gaps

Cybersecurity threats have become complex and challenging to mitigate. Integrating Artificial Intelligence (AI) competencies into the cybersecurity curriculum is essential to develop a workforce capable of addressing contemporary security challenges. This paper proposes a comprehensive conceptual model designed to map AI competencies onto graduate curricula in cybersecurity. The model uses AI competencies (managerial and technical) to assess its presence within an existing MS cybersecurity program in different courses. The results suggest that while managerial AI competencies—such as strategic implementation, governance considerations, and communications—are well-represented and thoroughly integrated, there is a gap in including technical AI competencies. These technical competencies include advanced machine learning techniques, algorithm development, and hands-on AI tool application. Our findings highlight the need for curriculum developers to enhance cybersecurity curricula' technical AI training components. Implications are noted, and future research directions are suggested.