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 Book Chapter Faculty Publications- Book Chapter 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 Seranmadevi, R.; Addula, Santosh Reddy; Kumar, Deepak; Tyagi, Amit Kumar Title A name given to the resource Security and Privacy in AI: IoT- Enabled Banking and Finance Services 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 Monetary Dynamics and Socio-Economic Development in Emerging Economies;pp.163-194 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9765-7.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9765-7.ch006</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105017748823?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017748823?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 Seranmadevi R., Christ University, Bangalore, India; Addula S.R., University of the Cumberlands, United States; Kumar D., University of the Cumberlands, United States; Tyagi A.K., National Institute of Fashion Technology, New Delhi, India Description An account of the resource The integration of Artificial Intelligence (AI) and the IoThas led to significant advancements in the banking and finance sector, providing personalized, efficient, and data- driven services. However, these AI- IoT enabled systems also introduce complex security and privacy challenges that need to be addressed to protect sensitive financial data and maintain customer trust. This paper surveys the key security and privacy issues in AI- IoT enabled banking, including data breaches, cyber- attacks, unauthorized access, and data misuse. We examine current methodologies for securing AI- IoT systems, such as encryption, blockchain, alongside AI- driven threat detection and response techniques.The survey explores regulatory considerations and compliance requirements that shape security protocols in financial services. By identifying gaps in existing security measures and highlighting advanced privacypreserving technologies, this study aims to provide a comprehensive understanding of the challenges and future directions in securing AI- IoT applications within banking and finance. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939767-1; 979-836939765-7; Language A language of the resource English Type The nature or genre of the resource Book chapter 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