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

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

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

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

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

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

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

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

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

Just as every orchestra needs a conductor, decision orchestration keeps all the rules and processes firing at the right times in your system

Microservices are small building blocks created to accomplish a business action or decision, and can be used throughout the business to increase efficiency and improve results

Unless you are good at generating the right data characteristics, or features, which are relevant to your business decisions, you cannot increase the value of big data

Multiple types of data can be fed into banking systems to make better decisions - but can your system handle it?