This study explores the role of Artificial Intelligence (AI) in enhancing cybersecurity and financial technology (FinTech) within Jordanian banks. With the increasing reliance on digital platforms, banks face significant challenges in securing financial data and services against the growing number of cyber threats. At the same time, the rise of FinTech requires innovations that improve the quality and accessibility of banking services and have emerged as powerful tools to address both cybersecurity concerns and the need for personalized financial services. The study finds strong positive correlations between AI implementation and improvements in cybersecurity performance and FinTech service quality. Statistical analyses, including correlation and regression, demonstrate that AI adoption significantly enhances the ability of banks to prevent and mitigate cyber threats while also improving the personalization and efficiency of financial services. However, the study also identifies several challenges, including a lack of skilled professionals, high implementation costs, and regulatory uncertainties, which hinder the widespread adoption of AI in Jordanian banks. The findings emphasize the need for targeted investments in AI infrastructure, employee training, and regulatory frameworks to unlock the full potential of AI in the banking sector. This study provides valuable insights for policymakers, banking institutions, and technology providers, offering recommendations for enhancing both cybersecurity and FinTech in Jordanian banks through AI-driven innovations.

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The Role of Artificial Intelligence in Enhancing Financial Technology Cybersecurity in Jordanian Banks

  • Ahmad Mohammad Ali AlJabali,
  • Baker Akram Falah Jarah,
  • Abdul Razzak Alshehadeh,
  • Haneen A. Al-khawaja

摘要

This study explores the role of Artificial Intelligence (AI) in enhancing cybersecurity and financial technology (FinTech) within Jordanian banks. With the increasing reliance on digital platforms, banks face significant challenges in securing financial data and services against the growing number of cyber threats. At the same time, the rise of FinTech requires innovations that improve the quality and accessibility of banking services and have emerged as powerful tools to address both cybersecurity concerns and the need for personalized financial services. The study finds strong positive correlations between AI implementation and improvements in cybersecurity performance and FinTech service quality. Statistical analyses, including correlation and regression, demonstrate that AI adoption significantly enhances the ability of banks to prevent and mitigate cyber threats while also improving the personalization and efficiency of financial services. However, the study also identifies several challenges, including a lack of skilled professionals, high implementation costs, and regulatory uncertainties, which hinder the widespread adoption of AI in Jordanian banks. The findings emphasize the need for targeted investments in AI infrastructure, employee training, and regulatory frameworks to unlock the full potential of AI in the banking sector. This study provides valuable insights for policymakers, banking institutions, and technology providers, offering recommendations for enhancing both cybersecurity and FinTech in Jordanian banks through AI-driven innovations.