Design an AI-Based Real-time Fraud Detection System — System Design Interview Practice
Design an AI system that detects fraudulent transactions in real-time using ML models, graph analysis, and behavioral patterns, with adaptive learning from new fraud patterns. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Score transactions in real-timeRequirement
- Detect known and novel fraud patternsRequirement
- Analyze user behavioral biometricsRequirement
- Build fraud rings using graph analysisRequirement
- Adapt models to evolving fraud tacticsRequirement
- Minimize false positives for legitimate usersRequirement
- Provide explainable fraud decisionsRequirement
- Generate regulatory compliance reportsRequirement
- aiConcept to explore
- fraud detectionConcept to explore
- real timeConcept to explore
- graph analysisConcept to explore
- fintechConcept to explore
- streamingConcept to explore