  The rapid advancement of generative Artificial Intelligence (AI)
technologies, particularly Generative Pre-trained Transformer (GPT) models such
as ChatGPT, has the potential to significantly impact cybersecurity. In this
study, we investigated the impact of GPTs, specifically ChatGPT, on tertiary
education in cybersecurity, and provided recommendations for universities to
adapt their curricula to meet the evolving needs of the industry. Our research
highlighted the importance of understanding the alignment between GPT's
``mental model'' and human cognition, as well as the enhancement of GPT
capabilities to human skills based on Bloom's taxonomy. By analyzing current
educational practices and the alignment of curricula with industry
requirements, we concluded that universities providing practical degrees like
cybersecurity should align closely with industry demand and embrace the
inevitable generative AI revolution, while applying stringent ethics oversight
to safeguard responsible GPT usage. We proposed a set of recommendations
focused on updating university curricula, promoting agility within
universities, fostering collaboration between academia, industry, and
policymakers, and evaluating and assessing educational outcomes.
