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@article{173842,
        author = {Chetan Gosavi and Chinmayee Gavali},
        title = {Artificial Intelligence in Cybersecurity: Enhancing Threat Intelligence and Defense Mechanisms},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {1719-1726},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173842},
        abstract = {In the evolving landscape of cybersecurity, artificial intelligence (AI) has emerged as a crucial tool for enhancing threat detection, intelligence, and defense mechanisms. AI-driven solutions leverage machine learning, deep learning, and natural language processing (NLP) to analyze large datasets, detect anomalies, and predict cyber threats in real time. Unlike traditional rule-based security systems, AI enables autonomous threat detection, reducing response times and mitigating risks more effectively. This paper explores the applications of AI in cybersecurity, including threat intelligence, risk assessment, and incident response, while also addressing challenges associated with AI adoption in security frameworks.},
        keywords = {},
        month = {March},
        }