Every hour between a fraudulent transaction and a fraud score is an hour the fraud ring has to move money further away from recovery. Streaming scoring architectures aren't just a latency improvement — they change the unit economics of your fraud program entirely, because recovery rates fall off sharply after the first few minutes.
The move from batch to streaming isn't purely a modeling problem; it's an infrastructure one. Feature freshness, not model sophistication, is usually the binding constraint on real-time fraud detection quality.
Machine LearningBanking & FinanceFraud Detection