Global Bank Reduces Fraud by 92%

A major global bank was experiencing significant losses due to sophisticated fraud schemes targeting international wire transfers. Traditional rule-based systems were generating too many false positives while missing complex fraud patterns, resulting in $50M+ annual losses and poor customer experience.

We implemented an AI-powered fraud detection system integrated with blockchain smart contracts that analyzes transaction patterns in real-time. The solution combines machine learning algorithms with immutable blockchain records to create a comprehensive fraud prevention network.

Achieved 92% reduction in fraud losses, decreased false positives by 78%, and improved transaction processing speed by 45%. The system now processes over 1 million transactions daily with 99.97% accuracy.