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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
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