How implementation of AI reduces cybercrimes in modern society

This research analyzes how the implementation of artificial intelligence technologies contributes to the reduction of cybercrime in modern society. The paper examines AI-based approaches such as machine learning, anomaly detection, behavioral analysis, and automated threat response systems used to prevent, detect, and mitigate cyber threats. Real-world applications, including fraud detection, intrusion detection systems, and AI-driven cybersecurity frameworks, are reviewed to evaluate their effectiveness. The study also discusses limitations, ethical concerns, and future directions of AI in cybersecurity. The results demonstrate that AI significantly enhances the speed, accuracy, and scalability of cybercrime prevention mechanisms.