This article analyzes international experience in cyberattack detection systems using artificial intelligence technologies. The study examines modern cybersecurity systems used in the United States, European countries, and Asian nations. It also considers the effectiveness of processes such as AI-based threat detection, network monitoring, malware detection, and anomaly analysis. The article highlights the advantages of systems based on machine learning, deep learning, and neural networks, as well as their role in ensuring cybersecurity..