Report
Published May 7, 2026
Fintech Banks Credit Unions Fraud Management
Uncover a coordinated account takeover fraud ring in action and learn how it was stopped using behavioral, device and network intelligence.
Key insights:
- Fraud rings operate with structured roles to efficiently execute account takeover attacks
- Compromised accounts can be connected across devices, revealing coordinated activity
- Behavioral, device and network intelligence expose fraud signals traditional tools miss
- Stopping ATO requires identifying and dismantling the full fraud ring, not just individual logins
Complete the form to access the report
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Thank you for your interest
Your free Experian resource is now available. Enjoy!
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.