Behavioral profiling approaches are extremely important in tackling fraud that happens when banks share financial data with third parties through application programming interfaces.

FICO’s capabilities in a broad range of anti-fraud functions resulted in consistently good scores across the defined categories for the Chartis enterprise fraud report.

Scott Zoldi discusses using advanced analytics to deliver highly personalized customer experiences and how to "operationalize" those analytics.

In this video, fraud investigator Jesse Gossman discusses how synthetic identities are created, and why they look so real.

Some people believe that the application of price optimisation takes advantage of price-insensitive customers. In fact, a powerful pricing engine is more necessary than ever.

Uncovering hidden patterns in money movement makes machine learning for AML a very attractive enhancement to existing AML operations.

Vere Millican discusses the role of decision management technology in the success of African Bank.

In this post, I will share analysis that shows why using account management scores in addition to account origination scores is important.

Here are 11 simple ways for shoppers to protect themselves from Black Friday fraud while splurging on seasonal bargains.

The Chartis 2019 RiskTech100® report ranked FICO as one of the top 10 companies and FICO won awards in Innovation, AI, and Cyber Risk Quantification.

In this video, detective Jesse Gossman shares how synthetic identities are used, and the risks associated with Credit Profile Numbers (CPNs).

The mathematical optimization community already has a clear set of standards for MIP benchmarking - these should be followed.