A fast-growing fintech offering digital payments faced increasing fraud incidents, leading to chargebacks, disputes, and revenue loss. Customers were losing trust, and regulatory compliance was becoming a concern. The company needed a fraud prevention solution that could detect and block fraudulent transactions in real time without disrupting legitimate payments.
• Behavioral Analysis & Machine Learning: AI continuously learned from transaction history, identifying unusual spending patterns and flagging potentially fraudulent transactions.
• 3D Secure Implementation: A layered security measure that added an extra authentication step for risky transactions, reducing unauthorized usage.
• Dynamic Risk Scoring: Every transaction was assigned a risk score, automatically approving low-risk payments and flagging high-risk transactions for manual review.
• Automated Real-Time Alerts: Suspicious transactions triggered real-time alerts, allowing the fraud team to take immediate action.
• Increased Customer Confidence, leading to higher adoption rates and sign-ups as users felt safer using the platform.
• 95% accuracy in fraud detection, significantly reducing false positives and negatives.
• 90% fewer chargebacks, minimizing financial losses from fraudulent disputes.
• Faster & Safer Transactions, as legitimate users experienced fewer disruptions while fraudsters were blocked.
By integrating AI-driven fraud detection and 3D Secure authentication, this fintech startup reduced chargebacks and improved fraud detection accuracy. The client now enjoys Safer transactions, increased customer trust and higher user adoption.
