Exploring the Role of AI in Maintaining Data Integrity in Banking Applications: A PINN Perspective

Abstract

The banking sector is undergoing a digital transformation, with vast amounts of data being generated and processed daily. Maintaining data integrity is critical to ensure trust and accuracy in banking applications. This paper explores the role of Artificial Intelligence (AI) in upholding data integrity from the perspective of Physics-Inspired Neural Networks (PINNs). We discuss how AI, particularly PINNs, can identify anomalies, detect fraud, enhance data validation, and improve cybersecurity measures in banking applications. By harnessing AI and PINN capabilities, banks can not only safeguard sensitive customer information but also optimize their operations and provide a secure and reliable banking experience.