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Case Study

How a Top Bank Stops Sophisticated Fraud with Behavioral Analytics

Published February 5, 2025

Banks Fraud Management Identity
How a Top Bank Stops Sophisticated Fraud with Behavioral Analytics

A top bank struggled to efficiently stop evolving fraud attacks. Fraudsters incurred unnecessary expenses as they worked downstream in the bank’s onboarding flow, with some even beating the bank’s defense’s entirely. After implementing behavioral analytics, the bank was able to detect attacks 4x faster and stop sophisticated attacks that their other tools couldn’t.

Key Results:

  • 4x faster fraud detection resulting in a 30% reduction in digital onboarding costs
  • Effective detection of modern attack strategies that bypassed other fraud mitigation tools
  • 40% of manually approved fraud cases identified as risky by NeuroID

Click the button below to access the case study

View now

Related resources

Infographic

16 January 2026

2026 Future of Fraud Forecast

Download Experian’s 2026 Future of Fraud Forecast to explore five fraud trends expected to have the biggest impact on businesses and consumers in the coming year, including: 

  • Agentic AI and machine-to-machine fraud 
  • Deepfake-driven employment fraud 
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Tip Sheet

09 January 2026

A companion piece to Bridging the credit divide: income, risk and inclusion in consumer finance

This summary outlines important research findings that help lenders drive a more inclusive environment for customers, while mitigating risk.

A few takeaways:

  • Understanding the profiles of who’s more prone to exclusion informs risk management.
  • Machine learning techniques can also be deployed to help detect economic interaction effects or shifts.
  • Attributes like education level, occupation or rent/utilities payment history have predictive power in credit outcomes.
White Paper

17 December 2025

Closing the credit gap

Read the latest findings about "Closing the credit gap" white paper, and what they mean for financial inclusion and risk management.

Key insights:

  • Income and credit trends reveal significant disparities that impact access to financial products.
  • Demographic shifts across gender, household structures, ethnicities, and generations are reshaping borrower profiles.
  • Lenders who adapt their strategies and product offerings can expand their customer base, reduce default rates, and lead in inclusive finance.
Report

08 December 2025

Identity and fraud insights for merchants

Consumers expect e-commerce experiences to be seamless and secure but, as fraud threats evolve, merchants are struggling to keep pace — and consumers are losing trust in merchants. Drawing on this year’s U.S. identity and fraud insights, this report explores the key factors contributing to the e-commerce trust gap. 

You’ll learn:

  • What’s driving consumer concerns in e-commerce.
  • Consumers’ preferred security methods for seamless, safe transactions
  • Actionable recommendations to enhance merchants’ fraud stacks
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