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This is a Literature Review study.

AI-powered fraud detection in online banking: Using machine learning to improve security

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AI demonstrates potential to enhance fraud detection accuracy significantly in online banking systems.
Research indicates effective results in anomaly detection and the reduction of financial fraud risks using machine learning models.
The study explores the challenges faced in scaling AI-driven fraud detection systems and suggests improvements.
Implications include addressing algorithmic bias, improving data privacy, and utilizing blockchain technology for enhanced security.

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Literature study highlights improvements in fraud detection using AI and machine learning, indicating challenges and solutions.

Babu et al. (2025) studied this question.

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