Global Bank: AI-Powered Fraud Detection
Reduced fraud losses by 45% with real-time AI detection system
The Challenge
A leading global bank was experiencing significant financial losses due to fraudulent transactions. Their legacy rule-based fraud detection system was unable to keep pace with increasingly sophisticated fraud techniques, resulting in both financial losses and customer dissatisfaction.
The bank needed a solution that could detect fraud in real-time, adapt to new fraud patterns, and minimize false positives that were causing customer friction.
Our Solution
We implemented a comprehensive AI-powered fraud detection system using advanced machine learning algorithms
Real-Time Detection
Implemented streaming analytics with Apache Kafka for real-time transaction processing and fraud scoring.
ML Models
Deployed ensemble of models including Random Forest, Gradient Boosting, and Deep Neural Networks.
Feature Engineering
Created 500+ features capturing transaction patterns, user behavior, and device fingerprints.
Results
Measurable impact on fraud prevention and business outcomes
Technology Stack
Leveraging cutting-edge technologies for fraud detection