AI/ML Solutions
FraudDetectionSystem
Real-time transaction monitoring and fraud detection platform using ensemble ML models.
PythonKafkaTensorFlowRedisAWS
97%
detection
-65%
false positives
<50ms
latency
The Challenge
Regional bank experiencing rising fraud losses with existing rule-based system missing sophisticated patterns and generating excessive false positives.
Our Solution
Deployed an ensemble ML pipeline combining anomaly detection, behavioral analysis, and network graph models for real-time transaction scoring with sub-50ms latency.
Results
- 97% fraud detection rate
- 65% reduction in false positives
- Sub-50ms scoring latency
- $4M+ in prevented fraud losses annually
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