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AI-powered digital banking risk detection: Moving from post-transaction to pre-transaction intelligence

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Sandeep Ravichandra Gourneni *

Acharya Nagarjuna University, India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 3931-3939

Article DOI: 10.30574/wjarr.2025.26.1.1552

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1552

Received on 21 March 2025; revised on 26 April 2025; accepted on 29 April 2025

This scholarly article examines the paradigm shift in digital banking risk detection from traditional post-transaction analysis to pre-transaction intelligence powered by artificial intelligence. The transformation represents a fundamental change in how financial institutions approach fraud prevention and risk management. Through an analysis of current technological frameworks, implementation challenges, and emerging capabilities, this paper demonstrates how pre-transaction intelligence is revolutionizing the banking sector's approach to security while balancing customer experience considerations

AI-Powered Banking; Pre-Transaction Intelligence; Fraud Detection; Machine Learning Architectures; Behavioral Biometrics

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1552.pdf

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Sandeep Ravichandra Gourneni. AI-powered digital banking risk detection: Moving from post-transaction to pre-transaction intelligence. World Journal of Advanced Research and Reviews, 2025, 26(01), 3931-3939. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1552.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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