Fair Isaac Insights: How Can Fraud Models Combat New Tricks?

A “bolt-on” adaptive model layer, which self-learns new fraud patterns, boosts detection by nearly 20% in recent test.

Download the white paper, 'How Can Fraud Models Combat New Tricks?'

Even fraud models trained on vast amounts of data have a hard time identifying new fraudulent schemes. New innovations in self-learning adaptive models allow you to analyze what’s happening today.

Read this paper to learn:

How adaptive models work
The benefits of adaptive models
How adaptive models improved fraud account detection by nearly 20% in a recent test