Security and Privacy in AI
R. Seranmadevi, Santosh Reddy Addula, Deepak Kumar, Amit Kumar Tyagi
Abstract
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 privacy-preserving technologies, this study aims to provide a comprehensive understanding of the challenges and future directions in securing AI-IoT applications within banking and finance.