Client: Leading Digital Payments Provider

Challenge: The client experienced increasing transaction fraud — including synthetic identities, card-not-present fraud, and bot-driven payment attacks. Traditional rule-based fraud systems were rigid, slow, and generated false declines, hurting customer experience.

Solution: Chrysalis implemented an AI fraud detection engine integrated with the payment gateway.

Key features included:

• Real-Time Transaction Scoring – ML models evaluated transactions for fraud likelihood.
• Adaptive Risk Models – Continuously retrained using fraudster tactics and new datasets.
• Multi-Layer Analysis – Cross-referenced device fingerprinting, velocity checks, geolocation anomalies, and behavioral biometrics.

Results:

✔ 45% reduction in fraudulent transactions within the first 6 months.
✔ 30% fewer false declines, preserving revenue and customer trust.
✔ Regulatory compliance maintained with transparent, explainable AI models.