Research Article

The Digital Shield: An Analysis of AI's Role in Protecting US Financial Infrastructure from Cyberattack

Authors

  • Mohammad Kowshik Alam Master of Science in Business Analytics, Grand Canyon University, Arizona, USA
  • Md Lutfur Rahman Fahad Master of Science in Information Systems, Pacific State University, Los Angeles, USA

Abstract

The complexity of cyberattacks is a consistent challenge to the stability and credibility of financial institutions in the United States. Increasing vulnerability of financial systems to cyber-based criminal activities, including fraud, data breach and identity theft, has been observed as a result of the rapid pace of digital transformation. This study examines how data analytics facilitated by Artificial Intelligence (AI) can improve cybersecurity conditions in financial institutions by forecasting, identifying, and addressing possible threats on a real-time basis. I used two data sets to complete this research: the IEEE-CIS Fraud Detection dataset, which includes anonymized transactional information about the U.S. financial systems, and the Cyber Security Indexes dataset, which gives the world information about cybersecurity preparedness and the exposure. To train and test AI models of Random Forest, XGBoost, and Neural Networks, the IEEE-CIS dataset was used to find out the fraudulent transactions and test their accuracy of detection. Conversely, the dataset of Cyber Security Indexes was processed to compare the cybersecurity preparedness of the United States to the situation in other nations and investigate the relationships between cyber exposure, country preparedness, and digital development. The combined analysis reveals that AI-based models can be useful to identify fraudulent activities with high precision and recall and minimize financial loss and operational risks. The evidence shows that countries that have a better framework of cybersecurity governance and higher levels of Global Cybersecurity Index (GCI) experience less financial cybercrime exposure. This paper has reached the conclusion that AI-based analytics coupled with a strong cybersecurity framework forms a holistic protection scheme in the financial sector, which is more resilient, compliant with regulations, and trusted by the population. These findings highlight the potential of AI to transform the current state in empowering micro-level financial defenses as well as macro-level national cybersecurity infrastructures.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

4 (1)

Pages

112-133

Published

2022-06-25

How to Cite

Mohammad Kowshik Alam, & Md Lutfur Rahman Fahad. (2022). The Digital Shield: An Analysis of AI’s Role in Protecting US Financial Infrastructure from Cyberattack. Journal of Computer Science and Technology Studies, 4(1), 112-133. https://doi.org/10.32996/jcsts.2022.4.1.14

Downloads

Views

14

Downloads

5

Keywords:

Artificial Intelligence (AI) Cybersecurity Analytics Financial Fraud Detection Machine Learning Models Cybersecurity Readiness Indexes. U.S. Financial Institutions Defense