Real-Time Fraud Detection for a Fintech Platform: Catching Fraud Before It Clears, at 96% Accuracy
Fine-Tuned Detection Model · Real-Time Flagging · Transaction Pattern Analysis
Industry
Fintech & Digital Payments
About the Client
The client is a fintech platform processing high transaction volume across consumer and merchant accounts.
Client’s Requirement
- Fraud Caught Too Late: Suspicious transactions often got flagged only after they'd already cleared, by which point recovering the funds was a separate, harder problem.
- Generic Detection Rules: Existing fraud checks relied on broad rule sets that didn't reflect how fraud actually showed up in this client's own transaction data.
- High False Positive Rate: Legitimate transactions kept getting flagged alongside real fraud, creating review work that didn't need to exist.
Solution Delivered
- Fine-Tuned Detection Model: Aegis Softtech trained a model directly on the client's own transaction patterns instead of relying on generic industry rule sets.
- Real-Time Flagging: The model evaluates transactions as they happen, catching fraud before it clears rather than after.
- Reduced Review Load: Higher detection accuracy meant fewer legitimate transactions getting pulled into manual review.
The Results
The client saw the following outcomes:
- Detection Accuracy:
Reached 96%, flagging fraudulent activity the previous rule-based system missed.
- Response Time:
Fraudulent transactions get flagged and stopped in real time, before settlement instead of after.
- Review Workload:
Fewer false positives meant the fraud team spent less time clearing legitimate transactions by hand.
Technology Stack
- Fine-Tuned Machine Learning Model
- Real-Time Transaction Scoring
- Microsoft Azure AI Services
Is Your Fraud Detection Catching Activity Before or After It Clears?
Whether you need AI development OR Gen AI for a detection model trained on your own transaction data or real-time flagging built into your payment flow, Aegis Softtech's specialists are ready to help you catch fraud before it costs you.
Schedule a Fraud Detection Consultation
*Client identity is confidential. Project details verified through internal delivery records. Reference available on request.*