The Use of Artificial Intelligence Techniques in Combating Cybercrime: A Descriptive Analytical Study

Artificial Intelligence (AI) has emerged as a transformative technology in modern cybersecurity due to its ability to enhance threat detection, automate security processes, and improve decision-making capabilities. With the increasing complexity and frequency of cybercrimes, traditional cybersecurity approaches often face limitations in identifying and preventing sophisticated attacks. This study aims to examine the role of Artificial Intelligence techniques in combating cybercrime through a descriptive analytical approach. The study relies on a review and analysis of recent academic literature published between 2020 and 2025, focusing on various Artificial Intelligence applications in cybersecurity, including Machine Learning, Deep Learning, Intrusion Detection Systems, malware detection, phishing prevention, and digital forensic analysis. The findings indicate that Artificial Intelligence significantly enhances cybersecurity performance through intelligent pattern recognition, anomaly detection, predictive analysis, and automated response mechanisms. The study further reveals that although AI-based cybersecurity systems offer numerous advantages, several challenges remain, including privacy concerns, data quality issues, adversarial attacks, model interpretability, and computational requirements. The study concludes that Artificial Intelligence represents a promising solution for addressing emerging cyber threats and recommends further research into advanced technologies such as Explainable Artificial Intelligence, Federated Learning, and Quantum Computing to strengthen future cybersecurity systems.