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{182877,
        author = {Thumma.John Sukeerth Reddy and P. Akanksha},
        title = {Securing the Future: A Comprehensive Study of Artificial Intelligence in Cybersecurity for 2025 and Beyond},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {4055-4056},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182877},
        abstract = {The fusion of artificial intelligence (AI) and cybersecurity represents a significant change in digital threat management. This research examines how AI can both protect and endanger systems in strengthening digital security and creating potential security risks. Drawing on recent advancements, the paper explores weak points in machine learning models, hostile strategies targeting AI systems, and AI-driven security frameworks. A comparative analysis of defensive and offensive AI applications highlights emerging threats such as deepfakes, AI-powered ransomware, and supply chain attacks, alongside mitigations like adversarial training and federated learning security. The study concludes with insights into securing autonomous AI systems and the ethical challenges of AI-enabled surveillance, suggesting a path forward for secure, responsible AI integration in cybersecurity.},
        keywords = {AI, Cybersecurity},
        month = {July},
        }