International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI-Driven Fraud Detection: A Comprehensive Analysis and Implementation Framework

Author(s) Mr. Dhanush M, Mrs.S. Cynthia Juliet
Country India
Abstract Artificial intelligence and machine learning have transformed financial fraud detection from static, rule-based systems into dynamic, adaptive mechanisms. This paper analyzes the evolution, implementation, and future directions of AI-driven fraud detection. It highlights how machine learning algorithms achieve over 90% detection accuracy while reducing false alerts by up to 60%, providing a scalable, explainable, and regulatory-compliant framework for financial institutions.
Keywords Artificial Intelligence, Machine Learning, Fraud Detection, Financial Security, Explainable AI, Cloud Infrastructure
Field Computer Applications
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-15
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.60631
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E-ISSN 2582-2160
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