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Build your own risk scores to stop targeted fraud attacks

Fraud-risk analysis functions in a company are bound to reach an inflection point once a business begins to scale; a turning point where usage of global third party data networks and outsourced fraud modeling see diminishing returns as fraud incidents grow in complexity and volume.

This creates a need for fraud teams to “get under the hood” of their risk models, unpack their data ingredients, and augment them with more refined kinds of behavioral data to achieve high levels of effectiveness.

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