DOI: https://doi.org/10.36719/2789-6919/57/217-221
Aykhan Mammadli
Azerbaijan State University of Economics
Mаstеr’s studеnt
https://orcid.org/0009-0008-8043-1519
aykhanmammadli0@gmail.com
Application of Artificial Intelligence in Cybersecurity and Analysis of its Effectiveness
Abstract
In the modern information society, the rapid development of digital technologies has significantly increased the scale and complexity of cyber threats. Traditional cybersecurity systems, which are primarily based on predefined rules and signature-based approaches, often struggle to effectively detect and prevent new and evolving attacks. Therefore, the application of artificial intelligence (AI) in cybersecurity has gained significant importance in recent years.
This article analyzes the application of AI in cybersecurity, focusing on key methods and their effectiveness. In particular, the role of machine learning and deep learning models in threat detection, anomaly identification, and predictive analysis is examined. The study reveals that AI-based approaches provide higher accuracy and adaptability compared to traditional methods.
However, several limitations and risks associated with AI systems are also discussed, including false positives, dependency on data quality, and adversarial attacks. The findings highlight that while AI is a powerful and promising tool in cybersecurity, its effective implementation requires a comprehensive and balanced approach.
Keywords: artificial intelligence, cybersecurity, machine learning, intrusion detection, anomaly detection, deep learning