Credit Risk Management with GenAI

The credit marketing landscape is evolving. As competition intensifies and consumer expectations rise, financial institutions that can predict, personalize and perform at scale will define the next generation of success.

In this webinar, our experts explore how financial institutions can use connected intelligence to find, know and grow the right customers, leading to:

• Smarter acquisition
• Stronger customer retention
• More proactive growth

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

ITIN holders are active, responsible participants in the U.S. credit economy — yet many remain overlooked by traditional lending models.

Our white paper takes a closer look at this financially active and resilient population, revealing key insights into their credit performance and long-term growth potential.

Some findings include:

• Most ITIN holders are concentrated in states that represent a large share of the U.S. economy: California, Texas and New York.
• 76.9% of ITIN holders remained current on trades after 12 months, a rate 15% higher than SSN consumers.
• ITIN holders maintain a lower debt-to-income ratio (25%) than SSN consumers.

Read the full white paper for more insights.

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.