METHODS FOR DETECTION AND PREVENTION OF CYBERATTACKS WITH THE HELP OF INTELLIGENT AGENTS BASED ON ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.47390/nat-i3v2y2026/n04Keywords:
artificial intelligence. intelligent agents, cybersecurity, cyberattacks, IDS, IPS, machine learning, deep learning, anomaly detection, network security.Abstract
This article analyzes from a scientific point of view the methods of detecting and preventing cyberattacks using artificial intelligence technologies and intelligent agents. As threats to cybersecurity are becoming more complex along with the development of digital infrastructures, the capabilities of traditional rule-based protection tools are being limited. The study examines the concept of intelligent agents using machine learning, deep learning, and anomaly detection algorithms. It also covers the processes of network monitoring, traffic analysis, attack classification, and automatic response within a single adaptive system. The advantages of the proposed model are explained by its accuracy, flexibility, and real-time capabilities. The results of the study show that intelligent agents based on AI can become an important component of future cybersecurity infrastructures.
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