Artificial Intelligence in Financial Risk Management: A Paradigm Shift in Real-Time Fraud Detection and Security
Year: 2025
Type: article
Abstract: This article examines the transformative impact of Artificial Intelligence (AI) on financial risk management, focusing on real-time fraud detection and security mechanisms. The article explores how AI technologies, including machine learning, behavioral analytics, and natural language processing, have revolutionized the financial sector's approach to risk assessment and fraud prevention. The article analyzes the implementation of advanced transaction monitoring systems, behavioral intelligence frameworks, and privacy-preserving architectures across financial institutions. Special attention is given to the integration of deep learning applications and their role in enhancing operational efficiency and regulatory compliance. The article demonstrates that AI-driven solutions have significantly improved fraud detection capabilities, reduced false positives, and strengthened security measures while maintaining data privacy and regulatory compliance. This article contributes to the understanding of how financial institutions can leverage AI technologies to address emerging security challenges in an increasingly digital financial landscape.
Author: Shravan Kumar Amjala
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411436096