FICO® Falcon® Intelligence Network

Superior fraud detection is achieved by analyzing an abundance of transactional data in order to effectively understand behavior, and assess risk, at an individual level. 

At FICO, we have performed extensive research on different modeling techniques. Clearly, this research indicates that fraud models that are developed and trained using data from thousands of institutions will be more accurate than models that rely on a relatively thin dataset. 

The FICO® Falcon® Intelligence Network ­is the core of FICO’s enterprise fraud solutions. More than 10,000 global institutions contribute the transactional and non-monetary data needed for FICO to create machine learning predictive features aimed at differentiating non-fraud and fraud activity. These behavioral analytics reduce false positives while interpreting even the most subtle indications of fraud. The resulting models work with Falcon’s real-time profiling techniques to interpret individual behaviors while benefitting from macro-level fraud patterns derived from data contributed by thousands of financial institutions. These concepts apply across supervised fraud models as well as unsupervised and semi-supervised models that are trained on bank-specific data sets.