Copyright © 2026 Authors retain the copyright of this article. This article 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.

@article{171079,
        author = {G. Sathvika and A Bharadwaj and P. Sri Vardhan and K. Venkata Kamalanayana},
        title = {Impact and Limitations of Artificial Intelligence in Cybersecurity},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {2076-2080},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171079},
        abstract = {In today’s digital landscape, safeguarding data against cyberattacks has become increasingly crucial. While traditional methods and algorithms have focused on securing networks, software, and hardware, the rap-idly evolving threat landscape has surpassed the effec-tiveness of these conventional approaches. Conse-quently, artificial intelligence (AI) has emerged as a key tool in strengthening cybersecurity. The following re-search explores the applications of AI in cybersecurity, assessing the impact of AI-driven threat detection sys-tems on modern cybersecurity practices, while address-ing both their advancements and challenges. This paper also investigates how AI shapes cyberspace and its po-tential influence on future malware and cyber threats, emphasizing its dual role as both an asset and a potential risk.},
        keywords = {Cyberattacks, Artificial Intelligence (AI), Cybersecurity, Malware.},
        month = {December},
        }