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CyberAI: Knowledge Area Frameworks for Cybersecurity Programs in the Age of Artificial Intelligence
Conference proceeding   Open access

CyberAI: Knowledge Area Frameworks for Cybersecurity Programs in the Age of Artificial Intelligence

Siddharth Kaza, Blair Taylor, Paul Wagner, Shankar Banik, Eman El-Sheikh, Paige Zaleppa, Seth Hamman, Md Sajidul Islam Sajid, Yair Levy, Vincent Nestler, …
Proceedings of the 26th ACM Annual Conference on Cybersecurity & Information Technology Education, pp.24-28
ACM Conferences
Annual ACM Conference on Cybersecurity and Information Technology Education: ACM SIGCITE 2025 , 26th (Sacramento, California, USA, 11/06/2025–11/08/2025)
11/06/2025
Web of Science ID: WOS:001670358000005

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Abstract

The CyberAI Programs of Study (PoS) represent a pioneering step in integrating Artificial Intelligence (AI) with cybersecurity education. Sponsored by the U.S. National Science Foundation (NSF) and developed in collaboration with the U.S. National Security Agency's (NSA) National Centers of Academic Excellence in Cybersecurity (NCAE-C), the CyberAI initiative (www.towson.edu/cyberai) aims to produce a workforce adept in both cybersecurity skills and AI competencies. This paper presents the knowledge areas produced in collaboration with 200+ individuals, with two distinct programs of study – SecureAI, securing the lifecycle of AI, and AICyber – using AI tools and techniques in cybersecurity. A review highlighting the evolution of cybersecurity educational standards and the growing necessity of interdisciplinary AI integration in higher education is presented. Further, this paper outlines the development and validation processes for new Knowledge Units (KUs) supporting these programs, presents findings from pilot implementations, and discusses a validation framework aligned with the U.S. National Institute of Standards and Technology (NIST) NICE Framework and the U.S. DoD Cyber Workforce Framework (DCWF) standards.
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