Definition #
Neural networks detecting patterns in transactional data to flag suspicious behavior.
Key Characteristics #
- Graph network analysis
- Behavioral biometrics
- Real-time scoring
- Adaptive learning
Why It Matters #
Catches 300% more fraud than rules-based systems with 50% fewer false positives.
Common Use Cases #
- Credit card fraud
- Insurance claim fraud
- Account takeover
Examples #
- Featurespace ARIC
- SAS Fraud Management
- Feedzai
FAQs #
Q: Model refresh rate?
A: Continuous learning updates models every 15 mins for new patterns.
Q: Regulatory compliance?
A: Explainable AI meets PSD2/Strong Customer Authentication requirements.