Understand what fraud analytics entail and how they leverage AI, machine learning, business intelligence and data science to improve fraud detection

Becoming the principal bank for your customers demands hyper-personalized decisions and a customer-centric approach, powered by composability

FICO experts provide insight into market trends and unique research that shows fraud growth and best practices to stop it

In a year that saw the word "scamdemic" coined, scams such as authorised push payment fraud were top of mind, along with various other fraud schemes

Credit & Collections Technology Awards recognize our scams model with the award for Machine Learning - here's why

Our most popular fraud and financial crime posts explored trade-based money laundering, non-fungible tokens, buy now pay later scams, courier scams and good old credit card fraud

Today's hottest finance trend is also banks’ next fraud frontier, as BNPL fraud may avoid detection and banks will shoulder the losses

FICO’s new Scam Detection Score identifies 50% more scam transactions compared to the standard fraud score

There is an urgent need for open banking fraud detection, even before banks have sufficient data to train supervised fraud detection models

Now there is a better way to reduce SAR false positives while stopping money laundering

In part 1 of this series, I explore why it's vital - and difficult - to achieve monotonicity and palatability in certain AI models

From biometrics to COVID and digital disruption, here were the fraud and financial crime topics that captured readers' attention

Home food deliveries have jumped in the pandemic, but FICO data shows that food delivery fraud hasn't

US card data shows how medical equipment fraud and medical services fraud have changed in the pandemic

How to stay safe from fraud at ATMs and online, plus how to avoid becoming a money mule