Credit card insights uncover developing financial pressures affecting many Canadians

Which works better for building credit risk models: using AI and machine learning or using traditional scorecards?

Improve customer management and reduce losses from check fraud by managing payment hold strategies using analytics

Lenders in Brazil can improve collections and fraud strategies by optimizing the balance of digital message channels

The Federal Housing Finance Agency’s interim “lender choice” policy introduces a dangerous precedent that increases adverse selection risk that will raise prices for consumers. 

An analysis by FICO data scientists has found that FICO Score 10T significantly outperforms VantageScore 4.0 in mortgage origination predictive power. 

The FICO European Fraud Map shows how Card Not Present fraud is rising across Europe, and why a unified approach to fighting fraud is vital

Credit card data reveals many Canadians are struggling to pay off their monthly balances

Call for analytics and digital transformation champions!

UK Finance’s Fraud Report 2025 shows changes in fraud typologies – underlying much of this shift is evolving techniques in social engineering

Navigate the complexities of enterprise fraud management with seamless orchestration, real-time detection, and scalable prevention and intervention strategies.

Explore the forthcoming capabilities for business decision-making and applied intelligence based on AI, composability and more

Using FICO® Auto Score 10, Octane responsibly expands credit access and grows recreational financing by 36%.

How does progress in artificial intelligence stack up to the FICO credit score model?