Case Study
Published February 5, 2025
Banks Fraud Management Identity
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
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Webinar
Protecting Employees’ Identities and Financial Wellbeing
Experian experts discuss how companies are integrating credit education, identity protection, and financial wellness into their employee benefits offerings.
Watch our on-demand webinar to discover:
- Why traditional benefits are no longer enough.
- How to deliver all-in-one financial protection.
- Real-world results from Experian-powered solutions.
- What your employees really want from their benefits.
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Protecting Paychecks and Identities
Learn how you can move beyond single-point employee benefit solutions and embrace a more holistic approach that combines:
- Credit education to help employees understand and take control of their credit health
- Financial wellness tools to support budgeting and day-to-day financial confidence
- Identity protection to safeguard what employees have worked hard to build
Infographic
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
- Smart home device exploitation
- Website cloning and emotionally intelligent fraud bots
Tip Sheet
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.