AI Revolutionizing Cybersecurity: An Overview

  • Authors

    • Bharathi S Associate Professor, Department of Electronics and Communication Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi, India
    • Alexandros Konios Assistant Professor, Department of Computer Science, Nottingham Trent University, U.K
    • Nandhakumar Manikandasamy PG scholar, Department of Computer Science, Nottingham Trent University, U.K
    • Sudha V K Professor, Department of Electronics and Communication Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi. India
    • Chairman M Assistant Professor, Department of Electronics and Communication Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi, India
    • Senbagam B Assistant Professor, Department of Electronics and Communication Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi, India
    https://doi.org/10.14419/a3kpw407

    Received date: August 10, 2025

    Accepted date: September 26, 2025

    Published date: November 5, 2025

  • Artificial Intelligence, Attack vectors, Cyber-aware, Cyber strategies, Digital information

  • 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.

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  • How to Cite

    S, B., Konios , A. ., Manikandasamy , N. ., V K , S. ., M, C. ., & B, S. . (2025). AI Revolutionizing Cybersecurity: An Overview. International Journal of Basic and Applied Sciences, 14(7), 139-148. https://doi.org/10.14419/a3kpw407