AI-powered digital banking risk detection: Moving from post-transaction to pre-transaction intelligence
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
Institutions
- Acharya Nagarjuna University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-30
- DOI
- https://doi.org/10.5281/zenodo.17283742
- Primary Topic
- Bacterial Genetics and Biotechnology
- Type
- article
- Field-Weighted Citation Impact
- 0.00