The Role of AI in Cyber Risk Management: Predictive Analytics for Security Incident Forecasting and Mitigation

The growing sophistication and frequency of cyber threats stressed the limitations of traditional reactive cyber security approaches. Organizations are turning to Artificial Intelligence (AI) to improve cyber risk management through predictive capacities. This article investigates the role of AI-oriented predictive analysis in providing and mitigating security incidents. Analyzing historical cyber safety data and leveraging machine learning models as a temporal series forecast, anomaly detection, and supervised classification-ESTE study evaluate the ability of AI systems to anticipate potential threats and support proactive mitigation strategies. A mixed method research project combines case study analysis with empirical evaluation of AI model performance selected using threat data sets available to the public. The results show that AI-based predictive systems can significantly increase the accuracy and punctuality of cyber threat prediction, thus improving the preparation and organizational response. However, challenges related to data quality, model transparency, and ethical considerations persist. The article concludes with recommendations to integrate AI in corporate cyber risk structures and highlights directions for future and explainable AI research for cyber security.