Welcome to the Experian Thought Leadership Hub

Understand how first-party fraud is changing across financial institutions and what it means for your organization. Learn from Experian experts using industry benchmark data. 

• Explore year-over-year first-party fraud trends 
• Compare fraud rates across banks, credit unions and fintechs 
• Learn practical strategies to benchmark and strengthen fraud prevention 

Discover where leading institutions are taking decisioning:

• Explores why intelligent decisioning is becoming a competitive advantage for financial institutions.
• Examines research on AI, data, governance and decision intelligence.
• Highlights common modernization challenges and practical strategies for improving decision outcomes.

Model classification now drives governance in AI environments—but many frameworks lag reality. Static, inconsistent approaches create risk as inventories grow.

• Refresh classification continuously
  
• Map dependencies and shadow models
  
• Standardize decisions and documentation

Bayesian Optimization offers a more efficient way to tune machine learning models at scale. This white paper presents a controlled comparison with Grid Search using production credit-risk data to measure runtime and model performance.

• Up to 80× faster hyperparameter tuning
• No loss in CV or holdout AUC
• Evidence from LightGBM credit-risk models
• Guidance for governed ML environments

Global Insights 2026 explores how financial institutions are shifting from rapid AI adoption to accountable, connected intelligence. As fraud grows more sophisticated and risk functions converge, success depends on governed data, orchestrated ecosystems, and explainable decisions at scale.

• Accountable AI with measurable ROI and governance
  
• Layered fraud and continuous identity verification
  
• Unified credit, fraud, and compliance intelligence

Discover how Experian’s Score Choice Bundle can empower lenders with modern data and transparent pricing:

• Access VantageScore 4.0 and FICO® 2 in every transaction
• Gain deeper insight using expanded, modern consumer data
• Simplify workflows with predictable pricing and bundled scoring
• Support broader access to homeownership with faster model adoption

Improve your credit risk decisions with advanced approaches to validating and optimizing decision trees. Learn how stronger models drive smarter, more consistent outcomes across your portfolio.

• Enhance model accuracy
• Strengthen underwriting and collections
• Improve decision speed and consistency
• Align data science and risk teams

Generative AI is a powerful force that’s driving higher efficiency and productivity in credit risk management for financial institutions. Read our latest white paper to discover how lenders can improve the credit risk management process to:

• Streamline operating expenses
• Enhance compliance
• Increase lending volume
• Reduce credit and fraud losses

A strong credit risk decisioning strategy is crucial for any financial institution looking to stand out from the competition, book more high performing loans, and drive revenue. Lenders can achieve this by implementing next-gen AI technology to: 

• Build and deploy models faster 
• Optimize lending criteria 
• Reduce fraud risk 

Watch this video to learn how you can level up your credit decisioning journey across the customer lifecycle with the Experian Ascend Platform.