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Where Things Stand for FICO® Score 10T in the Conforming Mortgage Market

FICO® Score 10T historical data to be released in advance of implementation by the GSEs

Digital Wallet Fraud: How It Works and How to Fight It

A full view of the customer journey is critical to detecting and preventing digital wallet fraud, as are enhanced communications and segmented strategies

The Path Forward for Fair Credit Scoring Competition

With changes underway at Fannie Mae and Freddie Mac, what could competition between credit score models mean for mortgage bankers?

How Is Credit Card Fraud Changing in Europe?

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

3 Ways Social Engineering Undermines Fraud Defences in the UK

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

Octane Grows Lending by 36% with FICO Auto Score 10

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

How to Strengthen your Organization’s Money Mule Strategy

Money mules are causing significant problems across the globe. Organizations must take proactive steps to identify and disrupt them.

3 Ways Spanish Banks Can Stop Fraud with Customer Communications

As bank fraud increases and more customers fall victim to scams, banks in Spain need to enhance fraud protection but not at the risk of damaging customer experience

FICO Launches Innovative Score to Help Ukrainians Get Credit

Our initiative with regional leaders in Poland and Ukraine is aimed at improving financial inclusion and credit access for Ukrainian refugees

Explainable Machine Learning for Probability of Default Calculations

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

How Transaction Analytics Transform Lending Speed and Results

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Improving IRB and RWA Calculations with Machine Learning

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

Does the EU Framework for Responsible AI Go Far Enough?

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

How to Rate Trade Credit Risk – Without Much Data

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