Case Study
Published November 27, 2024
Fraud Management
Read how a payment processor used behavioral analytics to close fraud detection gaps — including identifying over 100,000 dormant fraud accounts — without adding friction for its genuine customers.
Case study includes details on:
- How behavioral analytics prevented $10M of potential annual fraud losses
- Why real-time decisioning on behavioral data was crucial to stopping new account opening fraud
- How behavioral analytics provided scalable fraud mitigation without added friction
White Paper
Scam detection: a guide for financial institutions
Learn how fraud teams can recognize scam activity earlier and strengthen prevention across the customer lifecycle.
- Explore five common scam types and their lifecycles
- Identify behavioral, device and payment red flags
- Understand how AI is changing scam tactics
- Discover tools for detecting high-risk activity sooner
Webinar
Scam detection: a guide for financial institutions
Learn how fraud teams can recognize scam activity earlier and strengthen prevention across the customer lifecycle.
- Explore five common scam types and their lifecycles
- Identify behavioral, device and payment red flags
- Understand how AI is changing scam tactics
- Discover tools for detecting high-risk activity sooner
White Paper
Holiday Readiness Starts at Checkout
Prepare your checkout strategy for peak shopping season with practical guidance on balancing fraud prevention and customer experience.
- Learn how false declines affect revenue and loyalty.
- Explore layered identity and authentication strategies.
- Improve approvals while reducing unnecessary checkout friction.
- Review a retailer case study with measurable business outcomes.
Case Study
Global Money Transfer Leader Reduces ATO-Driven Loss
See how NeuroID helped a money transfer leader reduce ATO losses and improve fraud detection.
- Achieved $1.4M in annualized gross savings by reducing fraud losses and operational costs.
- Delivered a 56x lift in chargeback predictive power using behavioral, device and network signals.
- Increased conversion rates by 2% while reducing manual reviews and maintaining a frictionless experience.
- Strengthened account takeover protection with real-time behavioral analytics and decisioning.