A Generative AI Approach for Ensuring Data Integrity Security Resilience in Fintech Systems

Abstract

The Fintech industry represents the convergence of finance and technology through innovative digital solutions from mobile banking to cryptocurrency. However, it faces big challenges with keeping data safe and systems strong. Traditional methods struggle to keep pace with sophisticated threats and complexities inherent in modern Fintech ecosystems. This paper proposes an approach to address these challenges using Generative AI and blockchain integration to make Fintech systems more resilient. Advanced machine learning algorithms detect and prevent data tampering in the proposed systems. Generative AI is used for threat detection, anomaly recognition, and real-time monitoring in system security. Then, we integrate blockchain technology to enhance the overall resilience of systems. Blockchain technology enhances the reliability of financial services in secure transactions, validating blocks, and distributing control across decentralized networks. These combined methodologies address the critical challenges of data integrity, security, and system resilience in dynamic Fintech systems. The performance analysis demonstrates the efficacy of our proposed framework in enhancing data integrity, security measures, and system resilience within Fintech systems.