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@article{168874,
        author = {RAJESH KUMAWAT and AHMED HUSSAIN},
        title = {The Role of AI in Enhancing Cybersecurity Measures},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2093-2101},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168874},
        abstract = {As the digital landscape continues to evolve, so do the threats that target it, necessitating innovative approaches to cybersecurity. This research paper explores the pivotal role of artificial intelligence (AI) in enhancing cybersecurity measures. It examines various AI technologies, including machine learning, deep learning, and natural language processing, and their applications in threat detection, vulnerability management, and automated incident response. By analyzing user behavior patterns and employing predictive analytics, AI systems can identify anomalies and potential threats more effectively than traditional methods. The paper also addresses the challenges and limitations associated with implementing AI in cybersecurity, including ethical considerations and the risk of algorithmic bias. Through case studies, the research highlights successful AI implementations in organizations and discusses the future trends shaping the intersection of AI and cybersecurity. Ultimately, this study underscores the transformative potential of AI in creating more resilient cybersecurity frameworks capable of adapting to an ever-changing threat landscape.},
        keywords = {Artificial Intelligence (AI), Cybersecurity, Threat Detection , Machine Learning, Security Information and Event Management (SIEM),Anomaly Detection,Cyber Threat Intelligence},
        month = {October},
        }