Regulating Artificial Intelligence in Cybercrime Prevention

Artificial Intelligence (AI) offers transformative potential for detecting, preventing, and mitigating cybercrime by enabling advanced data analytics, predictive threat modeling, and automated response mechanisms. Through machine learning algorithms and real-time monitoring systems, AI enhances the ability of cybersecurity frameworks to identify anomalous patterns, detect intrusions, and respond to cyber threats with greater speed and accuracy than traditional methods. However, the rapid evolution and widespread adoption of AI technologies have also introduced complex challenges, including the emergence of AI-enabled cyberattacks such as automated malware, intelligent phishing campaigns, deepfake manipulation, and adversarial attacks targeting AI systems themselves. These developments expose significant regulatory and ethical gaps in the governance of AI applications, particularly in relation to accountability, transparency, data protection, and cross-border enforcement. This paper examines the dual role of AI as both a defensive tool and a potential risk factor in cybercrime prevention, critically analyzes emerging national and international regulatory frameworks, and proposes a balanced governance model to reconcile technological innovation with security and ethical compliance. By integrating relevant theoretical perspectives and global policy insights, the study offers actionable recommendations for effective AI regulation that safeguards individual rights, promotes responsible innovation, and strengthens cyber defense systems in an increasingly digitalized society.