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

Reducing fraud, improving debt collection and building customer loyalty are three gains businesses can achieve with a great customer communication strategy

Fraud prevention leaders outline their concerns and priorities for tackling application fraud at FICO virtual roundtable

One effective way for service providers to protect customers against fraud schemes is through automated, real-time, two-way communication and notification

Service providers can expect to achieve improvements of 30% or more from applying advanced analytics to fight subscription fraud

Criminals are exploiting subscription fraud and using it as a gateway to other crimes - here's FICO's advice on how to stop it

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

FICO’s Fraud, Identity and Digital Banking Survey 2022 shows that customers in Canada want slick onboarding processes, where fraud controls work but don’t delay account opening

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

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

FICO analytics can identify more low-value card fraud, an important next step in stopping criminals