A Generative Security Application Engineering Curriculum

TL;DR

This paper proposes a new curriculum designed to teach students how to apply generative AI and large language models in security, aiming to better prepare them for the evolving technological landscape.

Contribution

It introduces an initial curriculum and course focused on integrating generative AI into security education, emphasizing automation and human-centric aspects.

Findings

Curriculum demonstrates how to leverage generative AI for security tasks.

Prepares students for future security challenges involving AI automation.

Aligns security training with evolving AI technologies.

Abstract

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.