Опубликован 25.03.2025
Ключевые слова
- Artificial Intelligence (AI),
- Cybersecurity,
- Machine learning (ML),
- Threat detection,
- Intrusion detection systems (IDS)
- Malware analysis,
- Automated threat response ...Больше
Как цитировать
Аннотация
As the frequency, sophistication, and scale of cyber threats continue to grow, the need for more advanced security solutions becomes increasingly critical. Traditional cybersecurity measures, such as firewalls and antivirus software, are struggling to keep pace with modern cyber threats. In this context, Artificial Intelligence (AI) and machine learning (ML) technologies are emerging as transformative tools in enhancing cybersecurity systems. This paper explores how AI is being leveraged to identify, predict, and mitigate cyber threats in real-time. It examines various AI-based techniques such as anomaly detection, intrusion detection systems (IDS), and automated threat response. The research highlights the applications of AI in threat intelligence, malware analysis, and risk management, as well as the challenges and limitations associated with implementing AI technologies in cybersecurity. By reviewing current literature, case studies, and industry examples, this paper aims to provide an understanding of how AI is reshaping the landscape of cybersecurity and offer insights into its future potential in combating evolving cyber threats.
Библиографические ссылки
- Goh, G. G. G., Lee, J., & Teo, H. (2021). Artificial Intelligence in Cybersecurity: Threat Detection and Mitigation Techniques. Journal of Cybersecurity, 13(2), 65-75.