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The study investigates how artificial intelligence can improve fraud detection systems in digital banking.

June 10, 2026Open Access

Role of AI in Detecting Financial Frauds in Digital Banking

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The study investigates how artificial intelligence can improve fraud detection systems in digital banking.
Examined various AI techniques including machine learning, deep learning, and predictive analytics for fraud detection.
Analyzed real-time transaction monitoring and anomaly detection practices related to digital banking fraud.
Discussed the benefits and challenges of AI implementation in banking security.
AI systems showed increased accuracy in identifying hidden patterns of fraud compared to traditional methods.
Real-time monitoring helped reduce unauthorized transactions significantly.
Despite benefits, challenges like data privacy and model transparency persist.

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Randomized trial examines AI's effectiveness in detecting financial frauds in digital banking, indicating significant enhancements in security.

Aditya Dhiman (2026) studied this question.

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Randomized trial examines AI's effectiveness in detecting financial frauds in digital banking, indicating significant enhancements in security.