Security and Compliance Aspects of Data Integrity in Banking AI/ML

Abstract

The rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies into banking operations has ushered in transformative opportunities and efficiencies. However, ensuring data integrity within this dynamic landscape presents complex challenges. This paper explores the critical security and compliance aspects of data integrity in AI/ML applications within the banking sector. It examines strategies for safeguarding data against breaches, unauthorized access, and maintaining compliance with regulatory frameworks such as GDPR. The paper underscores the significance of secure data management, encryption, access controls, and ongoing monitoring. By addressing security and compliance concerns, banks can harness the full potential of AI/ML while upholding data integrity and fostering customer trust.