AI in Financial Services: Fraud Detection and Risk Management

Authors

  • Faizal Nujumudeen Assistant Professor, Department of Artificial Intelligence & Data Science, KL Education Foundation, India
  • Vadla Anuja Assistant Professor, Department of CSE, Malla Reddy College of Engineering, India
  • R. Devi Assistant Professor, Department of E.C.E, S.R.K.R. Engineering College, India
  • U. Madhuri Assistant Professor, Department of Commerce, DNR College (A), India
  • K. Radha Assistant Professor, Department of Information Technology, St.Martin's Engineering College, India

DOI:

https://doi.org/10.63278/1335

Keywords:

Artificial Intelligence, Machine Learning, Financial Fraud Detection, Risk Management, Deep Learning, Predictive Analytics, Banking Security

Abstract

Today Artificial Intelligence serves as a substantial force that advances financial institutions by strengthening their ability to detect fraud and handle organizational risks. The growth of sophisticated financial fraud requires modern-day solutions which AI has proven to be better than traditional detection methods. This research investigates the impact of AI technology in banking institutions through its use cases while exploring methodologies together with advantages along with barriers it creates. This research shows that AI-controlled financial systems use data protection methods to minimize losses and produce better decisions with additional needed steps to protect data security and ethical standards.

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Published

2025-03-13

How to Cite

Nujumudeen, Faizal, Vadla Anuja, R. Devi, U. Madhuri, and K. Radha. 2025. “AI in Financial Services: Fraud Detection and Risk Management ”. Metallurgical and Materials Engineering 31 (3):119-27. https://doi.org/10.63278/1335.

Issue

Vol. 31 No. 3 (2025)

Section

Research

License

Copyright (c) 2025 Faizal Nujumudeen, Vadla Anuja, R. Devi, U. Madhuri, K. Radha

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