Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Syed, Waheeduddin Khadri; Mohammed, Abubakar; Reddy, Janamolla Kavitha; Gupta, Ketan; Logeshwaran, J. Title A name given to the resource Artificial Intelligence in Banking Security-Technical Innovations and Challenges Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2025;pp.170-176 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICV64824.2025.11085795" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICV64824.2025.11085795</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013074043?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013074043?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Syed W.K., University of the Cumberlands, Dept. of Information Technology, Somerville, NJ, United States; Mohammed A., University of the Cumberlands, Dept. of Information Technology, Houston, TX, United States; Reddy J.K., University of the Cumberlands - IT, Hillsborough, NJ, United States; Gupta K., University of the Cumberlands, Dept. of Information Technology, Williamsburg, KY, United States; Logeshwaran J., Christ University, Department of Computer Science, Karnataka, Bangluru, 560029, India Description An account of the resource The accelerating adoption of artificial intelligence (AI) technologies in the banking sector has introduced transformative possibilities for enhancing security frameworks against increasingly sophisticated cyber threats. This research investigates the technical innovations driven by AI, such as machine learning algorithms, biometric authentication systems, and natural language processing, and their impact on improving fraud detection, cybersecurity monitoring, and compliance automation. The paper identifies how AI systems, through real-time analysis of large-scale transaction data, can locate abnormal behavioral patterns and respond proactively to potential threats, significantly reducing human error and response time. A detailed analysis of the current literature reveals a significant research gap in integrating explainable AI, secure data governance frameworks, and scalable models suited for diverse banking environments. The outcome of this research highlights the need for a balanced approach that fosters technological innovation while addressing regulatory compliance, ethical concerns, and operational constraints, paving the way for a secure and intelligent banking infrastructure. 2025 IEEE. Subject The topic of the resource Artificial Intelligence; Banking Security; Cybersecurity; Machine Learning; Natural Language Processing Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151175-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online