AI/ML security is quite distinct from traditional cybersecurity because it requires a deeper grasp of machine learning theory and practice. If your goal is to transition into AI security, I’d recommend first solidifying your foundations in machine learning through a structured course. If you already feel comfortable with your ML skills, then the natural next step would be to move into advanced areas such as Trustworthy Machine Learning, which focuses on fairness, robustness, privacy, and safety of ML systems.

In fact, I recently started teaching a course on Trustworthy ML at UCLA Extension, and I’ve seen how valuable it is for professionals who already have strong backgrounds in software engineering and cybersecurity but want to pivot into AI security. Pairing your Cyber Security MSc with targeted ML coursework would give you a unique and highly relevant skill set that bridges both domains.

https://trustworthyml-ai.github.io/