Enterprise fraud management can break down fraud prevention operational silos so that fraud and abuse can be tackled at the customer level, rather than just the account level

Understand the impact of PSD3 and the key changes it creates for fraud prevention specialists

Fraudsters adapt rapidly, always on the lookout for new ways to exploit weaknesses in fraud defences and find new routes to their victims. How can fraud teams respond?

As real-time payments continue to grow globally, authorized push payment fraud scams follow. making intervention imperative

Traditional fraud protection methods may not be effective in protecting the unbanked and underbanked population - a more careful approach is needed

Scam regulations in Hong Kong, Singapore and Australia underline the need for action on the part of lenders and telcos

Factors driving credit score decreases observed among student loan holders involved behaviors such as delinquency on credit products including bankcards, auto loans, and mortgages

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

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

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

Research shows balance aggregation results in modest impact to FICO® Scores

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

Analysis identified modest impacts to FICO Scores from forbearance-related potential increases in mortgage balance.

The set-up of a score validation can greatly influence model performance results — and sometimes inflate them