EXPLORING THE POTENTIAL OF ARTIFICIAL INTELLIGENCE TO PREDICT CYBER ATTACKS: CREATION, EVALUATION AND COMPARATIVE ANALYSIS OF EFFECTIVE MODELS OF FINE-TUNING, RANDOM FORESTS, AND NEURAL NETWORKS. ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference, [S. l.], v. 5, p. 255–263, 2025. DOI: 10.17770/etr2025vol5.8504. Disponível em: https://archive-journals.rtu.lv/etr/article/view/5254.. Acesso em: 11 mar. 2026.