International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Application of Artificial Intelligence in Detecting and Mitigating Cyber Threats

Mahabubur RahmanDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, BangladeshImran UddinA2Z Finance Australia (Easy Mortgage Solutions Australia), AustraliaRana DasDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, BangladeshTuhalika SahaDepartment of Computer Science and Engineering, American International University Bangladesh, Dhaka, BangladeshEngr. S.K. Moududul HaqueDepartment of ICT, Khulna Government GirlsNahid Reza ShatuDepartment of MI & Operations, HSBC, Dhaka, BangladeshShafiqul Islam ShafiqICT Cell, Bangladesh Oceanographic Research Institute, Cox’s Bazar, Bangladesh

Vol 9 No 1 (2025): Volume 9, Issue 1, January 2025 | Pages: 17-26

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 11-01-2025

doi Logo doi.org/10.47001/IRJIET/2025.901003

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Abstract

The integration of Artificial Intelligence (AI) into cybersecurity has revolutionized the detection and mitigation of cyber threats, addressing the growing complexity and sophistication of attacks. This study explores AI's effectiveness in identifying threats such as malware, phishing, and zero-day vulnerabilities while automating threat responses and enhancing proactive defense mechanisms. It highlights key challenges, including adversarial attacks, data quality issues, algorithmic biases, and integration complexities with legacy systems. Emerging technologies such as federated learning, blockchain, and edge computing offer promising solutions to overcome these barriers. Ethical and regulatory considerations are also addressed, emphasizing the need for responsible AI adoption in cybersecurity. The findings underscore AI's transformative potential in cybersecurity and provide actionable recommendations for its effective implementation. The study concludes that while AI presents significant advantages, addressing its limitations through interdisciplinary collaboration and continuous innovation is critical to maximizing its impact.

Keywords

Artificial Intelligence, Cybersecurity, Threat Detection, Machine Learning, Adversarial Attacks, Federated Learning, Blockchain, Ethical AI, Zero-Day Vulnerabilities


Citation of this Article

Mahabubur Rahman, Imran Uddin, Rana Das, Tuhalika Saha, Engr. S.K. Moududul Haque, Nahid Reza Shatu, & Shafiqul Islam Shafiq. (2025). Application of Artificial Intelligence in Detecting and Mitigating Cyber Threats. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(1), 17-26. Article DOI https://doi.org/10.47001/IRJIET/2025.901003

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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