Regional Bank Cuts Fraud Losses by 70% with Real-Time AI Detection

Card and digital channel fraud was rising sharply, and the bank's rules-based fraud engine produced too many false positives, frustrating customers while still missing emerging fraud patterns.

• 1Rising fraud losses across cards, digital wallet, and instant payment channels
• 2Legacy rules engine generating 92% false-positive rate, harming customer experience
• 3Inability to detect novel fraud patterns until significant losses had accumulated

CloudGate built a real-time fraud scoring platform on Azure that combines ML, behavioral analytics, and generative AI to detect anomalies as they happen.

• Streaming transaction scoring with Azure Stream Analytics and Event Hubs at sub-200ms latency
• Custom ML models trained on Azure ML with continuous retraining and drift monitoring
• Investigator copilot built on Azure OpenAI accelerating case review and decisioning

• Detected and blocked a novel ATO attack pattern within 48 hours of emergence