Fraud Detection & Risk Insights

The Challenge

A fast-growing fintech company was struggling to balance rapid customer onboarding with rising fraud losses, particularly from account takeover (ATO) and synthetic identity fraud. Their legacy rule-based system was generating too many false positives (blocking legitimate users) and lacked the agility to detect sophisticated, evolving fraud schemes. This was negatively impacting their user experience and bottom line.

The Solution

We deployed a dynamic Fraud Detection & Risk Insights solution focusing on next-generation analytics:

• Audit Dashboards: Provided an integrated dashboard for analysts to visualize risk trends, review flagged transactions, and quickly adapt fraud rules based on new threat vectors.
• Real-time AI-Driven Detection: Implemented a machine learning model that analyzed hundreds of behavioral, device, and network attributes in milliseconds during user sign-up and transaction events.
• Predictive Modelling: Created custom risk models to score user sessions and transactions based on the probability of long-term fraudulent behavior, allowing for stepped-up authentication only for high-risk users.

Protect your revenue and accelerate your growth without compromise.

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