Acharya Nagarjuna University, India.
World Journal of Advanced Research and Reviews, 2025, 26(01), 3931-3939
Article DOI: 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
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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.
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