  The emergence of AI tools in cybersecurity creates many opportunities and
uncertainties. A focus group with advanced graduate students in cybersecurity
revealed the potential depth and breadth of the challenges and opportunities.
The salient issues are access to open source or free tools, documentation,
curricular diversity, and clear articulation of ethical principles for AI
cybersecurity education. Confronting the "black box" mentality in AI
cybersecurity work is also of the greatest importance, doubled by deeper and
prior education in foundational AI work. Systems thinking and effective
communication were considered relevant areas of educational improvement. Future
AI educators and practitioners need to address these issues by implementing
rigorous technical training curricula, clear documentation, and frameworks for
ethically monitoring AI combined with critical and system's thinking and
communication skills.
