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Case Study

4 fraud challenges

Published July 22, 2019

Banks Fraud Management

Organizations today are facing many different challenges when it comes to fighting fraud, but there are technology solutions available to help. Learn how we're helping your peers protect themselves and their customers.

Download the case study

View now

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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 
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21 August 2026

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 
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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.
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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.
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