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。