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S, B, Konios, A 
ORCID: https://orcid.org/0000-0001-5281-1911, Manikandasamy, N, V K, S, M, C and B, S,
2025.
AI revolutionizing cybersecurity: an overview.
International Journal of Basic and Applied Sciences, 14 (7), pp. 139-148.
ISSN 2227-5053
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Abstract
Data, or digital information, is one of the main engines that drive human society. With ever-evolving digital footprints and human needs, the demand for data protection also increases significantly. Cybersecurity cuts across every nook and corner of the digital world, from physical environments to clouds. With multiple attack vectors evolving day by day, the need for more robust enterprise infrastructure and Threat intelligence also evolves. Artificial Intelligence plays a pivotal role, offering advanced simulation and reasoning capabilities for both offensive and defensive cybersecurity strategies. This work examines the application, ability, advantages, and disadvantages of various cyber strategies. With some limitations around the corner, the recent advancements made it clear that with proper utilization of AI, the human effort involved can be reduced with autonomous threat intelligence and attack capabilities. It also highlights the fact that adversarial training on models makes them more cyber-aware against the effectiveness of the model.
| Item Type: | Journal article |
|---|---|
| Publication Title: | International Journal of Basic and Applied Sciences |
| Creators: | S, B., Konios, A., Manikandasamy, N., V K, S., M, C. and B, S. |
| Publisher: | Science Publishing Corporation |
| Date: | 5 November 2025 |
| Volume: | 14 |
| Number: | 7 |
| ISSN: | 2227-5053 |
| Identifiers: | Number Type 10.14419/a3kpw407 DOI 2527195 Other |
| Rights: | Copyright © Authors. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Divisions: | Schools > School of Science and Technology |
| Record created by: | Melissa Cornwell |
| Date Added: | 18 Nov 2025 15:25 |
| Last Modified: | 18 Nov 2025 15:25 |
| URI: | https://irep.ntu.ac.uk/id/eprint/54760 |
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