Fraud Shield AI
Developed an anomaly detection engine for a rapidly growing FinTech startup. The AI continuously monitors millions of daily transactions.
Project Details
A full breakdown of the features and modules delivered as part of this project.
Category
FinTech
Year
2023
Duration
7 Months
Stack Size
5 Technologies
Key Features
6 ModulesReal-time transaction scoring engine evaluating 200+ behavioral micro-signals per event.
ML anomaly detection model trained on billions of historical legitimate and fraudulent transactions.
Automated account freeze and step-up authentication triggers for high-risk transactions.
Case management dashboard for fraud analysts to review, action, and feedback flagged events.
Network graph visualization to detect organized fraud rings spanning multiple accounts.
Configurable risk policy engine allowing business rules to override or supplement AI scores.
Key Results & Impact
Measurable business outcomes delivered through this project.
Decreased successful fraudulent transactions by 89%.
Reduced false-positive account freezes by 76%, saving thousands of support tickets.
Processed transactions with an added latency of less than 15 milliseconds.
Saved the company an estimated $4.2M in chargebacks in the first quarter.