Open access
Jun 2026
CYBER THREAT FORECASTING: THE TRANSITION FROM TRADITIONAL ML TO GENERATIVE AI APPROACHES
This paper presents a comprehensive framework for cyber threat forecasting by integrating traditional machine learning techniques with advanced Generative AI models and demonstrates that Generative AI significantly improves cyber threat prediction accuracy, reduces false-positive rates, enhances adaptive learning, and supports real-time security decision-making.
P. Paul, Bharath Bhushan, Bathini Revanth et al.
· American Journal of AI Cyber... · 0 citations