Keywords
AI
cybersecurity
machine learning
How to Cite
Abstract
This comprehensive review of the use of artificialintelligence in cybersecurity highlights its significant potential in
threat detection, response, and overall security posture. Althoughsignificant progress has been made in using artificial intelligencein cybersecurity, future research must focus on optimizingspecific AI techniques, improving interpretation, and solving problems related to implementation in different environments.Further development of AI methodologies and their applications can contribute to increasing resilience and adaptability in the field of cybersecurity in the face of evolving threats.
References
Akhtar, Muhammad & Feng, Tao. (2022). Malware Analysis and Detection Using Machine Learning Algorithms. Symmetry. 14. 2304. 10.3390/sym14112304
Barredo A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82-115. https://doi.org/10.1016/j.inffus.2019.12.012
European Commission: Directorate-General for Communications Networks, Content and Technology and Grupa ekspertów wysokiego szczebla ds. sztucznej inteligencji, Ethics guidelines for trustworthy AI, Publications Office, 2019, https://data.europa.eu/doi/10.2759/346720
Gartner, Stamford, (2024) https://www.gartner.com/en/newsroom/press-releases/2024-08-28-gartner-forecasts-global-information-security-spending-to-grow-15-percent-in-2025
How Will AI Affect the Global Workforce? (2025) https://www.goldmansachs.com/insights/articles/how-will-ai-affect-the-global-workforce
Loza, B (2025) Supervised Machine Learning in Cybersecurity: A Comprehensive Analysis https://medium.com/@leev574/supervised-machine-learning-in-cybersecurity-a-comprehensive-analysis-04ac97a822fc
Okdem, S. (2024) Artificial Intelligence in Cybersecurity: A Review and a Case Study. Appl. Sci. 14, 1 https://doi.org/ 10.3390/app142210487
Ofusori, L., Bokaba, T., Mhlongo, S. (2024) Artificial Intelligence in Cybersecurity: A Comprehensive Review and Future Direction. Applied Artificial Intelligence, 38(1). https://doi.org/10.1080/08839514.2024.2439609
Sheikh, H., Prins, C., Schrijvers, E. (2023). Artificial Intelligence: Definition and Background. In: Mission AI. Research for Policy. Springer, Cham. https://doi.org/10.1007/978-3-031-21448-6_2
Stanford University, (2024) The 2024 AI Inder Report, https://hai.stanford.edu/assets/files/hai_ai-index-report-2024-smaller2
Tennyson M., Perini S., (2025), IDC, https://my.idc.com/getdoc.jsp?containerId=prEUR253264525
Welukar, J., Gagan, P. (2021) Artificial Intelligence in Cyber Security - A Review, International Journal of Scientific Research in Science and Technology (IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 8 Issue 6, pp. 488-491, November-December 2021. Available at doi : https://doi.org/10.32628/IJSRST218675 Journal URL : https://ijsrst.com/IJSRST218675
World Economic Forum, (2023) Future of Jobs Report 2023 https://www3.weforum.org/docs/WEF_Future_of_Jobs_2023
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2025 Konrad Hoza