Intelligent Knowledge Exploration and Processing

Intelligent Knowledge Exploration and Processing

Application of Artificial Intelligence in Cybersecurity

Document Type : Original Article

Author
Mostafa Hosseini
Shahrood Institute of Higher Education
10.30508/kdip.2025.471226.1109
Abstract
In the rapidly evolving landscape of cybersecurity, the integration of Artificial Intelligence (AI) has become paramount. This article explores the profound impact of AI-driven tools in fortifying cyber defenses, underscoring their necessity in combating increasingly sophisticated cyber threats. AI's ability to analyze vast datasets at unprecedented speeds enables the identification of vulnerabilities and the detection of anomalies that could signify potential attacks, often before they materialize. Key AI tools discussed include advanced threat detection systems, machine learning algorithms for predictive analytics, and automated incident response mechanisms. These tools not only enhance the efficiency and accuracy of threat detection but also significantly reduce the response time to cyber incidents, thereby mitigating potential damage.The article also delves into the darker side of AI, examining how malicious actors leverage AI to enhance the sophistication of their attacks. AI-powered malware, automated phishing schemes, and AI-driven social engineering tactics represent a new frontier of cyber threats, where attackers exploit AI to bypass traditional security measures. By highlighting these dual aspects of AI in cybersecurity, the article provides a comprehensive overview of the current state of play, emphasizing the critical need for organizations to adopt AI-based defenses to stay ahead in the cyber arms race. Ultimately, the integration of AI into cybersecurity strategies is not merely an option but a necessity for ensuring robust protection in the digital age.
Keywords
Artificial Intelligence (AI)
Cybersecurity
Threat Detection
Machine Learning
1.       Aggarwal, G. (2025). Integrated Technologies in Electrical, Electronics and Biotechnology Engineering.
2.       Araújo, D., Couceiro, M., Seifert, L., Sarmento, H., & Davids, K. (2021). Artificial intelligence in sport performance analysis. Routledge.
3.       Arp, D., Quiring, E., Pendlebury, F., Warnecke, A., Pierazzi, F., Wressnegger, C., ... & Rieck, K. (2024). Pitfalls in Machine Learning for Computer Security. Communications of the ACM, 67(11), 104-112.
4.       Busari, M. (2025). Unlocking Emerging Technologies: The Role of Artificial Intelligence in Cyber security.
5.       Chen, Z., Kang, F., Xiong, X., & Shu, H. (2024). A Survey on Penetration Path Planning in Automated Penetration Testing. Applied Sciences, 14(18), 8355
6.       Faraji, M. R., Shikder, F., Hasan, M. H., Islam, M. M., & Akter, U. K. (2024). Examining the role of artificial intelligence in cyber security (CS): A systematic review for preventing prospective solutions in financial transactions. International Journal, 5(10), 4766-4782.
7.       Gottsegen, G. (2023). Machine Learning Cybersecurity: How It Works and Companies to Know.
8.       Kovací, P. D. (2023). THREAT ACTORS SEEKING TO EXPLOIT AI CAPABILITIES. TYPES AND THEIR GOALS. Strategic Impact, 89(4), 53-63.
9.       Liu, H., Wang, Y., Fan, W., Liu, X., Li, Y., Jain, S., ... & Tang, J. (2022). Trustworthy ai: A computational perspective. ACM Transactions on Intelligent Systems and Technology, 14(1), 1-59.
10.   Papatsaroucha, D., Nikoloudakis, Y., Kefaloukos, I., Pallis, E., & Markakis, E. K. (2021). A survey on human and personality vulnerability assessment in cyber-security: Challenges, approaches, and open issues. arXiv preprint arXiv:2106.09986.
11.   Patel, R. (2020). Internet of Things (IoT): Cybersecurity Risks in Healthcare.
12.   Pearlson, K. E., Saunders, C. S., & Galletta, D. F. (2024). Managing and using information systems: A strategic approach. John Wiley & Sons.
13.   Roba Abbas, K. M., Pitt, J., Vogel, K. M., & Zaferirakopoulos, M. (2023). Artificial Intelligence (AI) in Cybersecurity: a Socio-Techni
14.   Samia, N. K. (2023). Global Cyber Attack Forecast using AI Techniques (Master's thesis, The University of Western Ontario (Canada)).
15.   Verma, S. S., & Navya, K. (2025). EYES EVERYWHERE: ETHICAL CONSIDERATION OF ARTIFICIAL INTELLIGENCE IN GOVERNANCE THROUGH FOUCAULT’S PANOPTICON LENS.
16.   Wagner, D. (2017, October). Security and machine learning. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (pp. 1-1).
Intelligent Knowledge Exploration and Processing
Volume 4, Issue 14
Autumn 2024
Pages 36-46