AI Financial Risk Control: Technical Architecture of Intelligent Anti Fraud System
Financial fraud methods are constantly evolving, and traditional rule-based risk control systems are no longer able to cope.
1、 Intelligent risk control system architecture
- Real time feature engineMillisecond level feature calculation to capture trading risk signals
- Multi model fusion: Rule engine+machine learning+deep learning multi-layer defense
- Graph Computing PlatformRecognition of Relationship Fraud Based on Knowledge Graph
- Real time decision engineMillisecond level risk assessment and disposal
2、 Actual combat effect
After deploying an AI risk control system, a certain bank's fraud detection rate has improved230%Reduced false alarm rate60%Reduction in annual fraud losses45 million yuan。