Contribution of Artificial Intelligence to Detecting Fraud in the Banking Sector Using Cybersecurity: Danske Bank as a Model

Abstract

This study aims to highlight the role of artificial intelligence in enhancing fraud detection in the banking sector through cybersecurity applications. It is based on the hypothesis that digital financial tools, such as cybersecurity, contribute to expanding the ability of banking institutions to detect fraud by analyzing large amounts of data effectively and in a timely manner. This analysis enables financial institutions to identify patterns and trends that are difficult to detect manually. To achieve the objectives of the study, the descriptive analytical approach was used with a case study of the Danish Danske Bank experience. The results showed that the use of artificial intelligence techniques to detect fraud in the bank helped detect about 50% of actual fraud cases, which constitutes a strong basis for raising the level of digital financial security