A global banking institution struggled with fraud detection due to outdated risk management models. Real-time transactions were not efficiently monitored, leading to increased fraudulent activities and financial losses.

Leveraged machine learning-based fraud detection systems integrated with real-time transaction monitoring. Implemented behavioral analytics to detect anomalies and prevent fraud proactively.

Reduced fraudulent transactions by 90%, increased detection accuracy, and minimized financial losses while ensuring a frictionless customer experience.