A Generative Security Application Engineering Curriculum
This addresses the problem of outdated security education for students in the face of AI-driven automation, though it is incremental as it builds on existing educational frameworks.
The paper tackles the need to prepare students for the impact of generative AI on security by proposing a curriculum that teaches them to apply generative AI to solve security problems, aiming to refocus education on human-centric aspects while leveraging automation.
Generative AI and large language models (LLMs) are transforming security by automating many tasks being performed manually. With such automation changing the practice of security as we know it, it is imperative that we prepare future students for the technology landscape they will ultimately face. Towards this end, we describe an initial curriculum and course that attempts to show students how to apply generative AI in order to solve problems in security. By refocusing security education and training on aspects uniquely suited for humans and showing students how to leverage automation for the rest, we believe we can better align security education practices with generative AI as it evolves.