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.

翻译：生成式人工智能（AI）技术的快速发展，尤其是ChatGPT等生成式预训练Transformer（GPT）模型，对网络安全领域具有重大影响潜力。本研究探讨了GPT模型（尤其是ChatGPT）对网络安全高等教育的影响，并为高校调整课程体系以适应行业不断变化的需求提供了建议。我们的研究强调了理解GPT“心智模型”与人类认知对齐的重要性，以及基于布鲁姆认知分类法提升GPT能力以匹配人类技能的必要性。通过分析当前教育实践及课程与行业需求的匹配度，我们得出结论：提供网络安全等实践型学位的高校应紧密对接行业需求，拥抱不可避免的生成式AI革命，同时通过严格的伦理监督确保GPT的负责任使用。我们提出了一系列建议，重点涉及更新高校课程体系、提升高校适应性、促进学术界、产业界与政策制定者之间的协作，以及评估教育成效。