Adoption of artificial intelligence-based cybersecurity tools at Georgia?s two-year colleges

Two-year public colleges in Georgia face significant challenges in maintaining robust cybersecurity programs with limited resources, especially as regulatory demands continue to rise.At the same time, advancements in artificial intelligence (AI) and machine learning (ML) present new opportunities to enhance threat detection, compliance management, and policy development.However, little is known about how these institutions adopt AI-based cybersecurity tools, the barriers they encounter, and the perceived benefits or drawbacks of integrating such solutions.This phenomenological qualitative study explores the lived experiences of information technology (IT) leaders at Georgia's two-year colleges as they implement AI-enhanced cybersecurity products.Semi-structured interviews investigate how these leaders perceive the effectiveness and efficiency of AI-driven tools, particularly in automating repetitive tasks, prioritizing critical threats, and creating tailored policies and procedures.The research also examines the potential of generative AI to assist in policy development for staff members with minimal formal cybersecurity training.The study seeks to illuminate both the promises and pitfalls of AI adoption in resource-constrained educational environments.Insights gleaned may inform best practices, guide institutional decision-makers, and support other higher education entities aiming to optimize AI-based cybersecurity solutions while adhering to evolving regulatory requirements.