eBook
Published July 13, 2026
Credit Decisioning Fraud Management Risk Management
Discover how lenders can strengthen prime portfolio performance by combining traditional credit risk strategies with first-party fraud analytics to identify hidden risk and improve early payment default detection.
Key insights:
- Traditional credit scores measure ability to repay but may not identify consumers with no intent to repay.
- First-party fraud models can uncover hidden early payment default risk within prime portfolios and improve risk segmentation.
- Research shows measurable lift in early delinquency detection and ROI when fraud analytics complement credit scoring.
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White Paper
Holiday Shopping Season 2026
Prepare your portfolio before peak holiday spending with insights into changing consumer behavior, credit trends and risk signals.
- Understand how income divergence is reshaping portfolio risk.
- Learn how BNPL, AI and alternative data influence lending decisions.
- Identify strategies to grow wallet share while managing early delinquency risk.
- Prioritize actions before the holiday shopping season begins.
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.