Account Opening Protection

When New Customers Are Not

BioCatch Account Opening Protection generates advanced behavioral insights to provide you with the real-time visibility you need to detect more fraud, introduce less friction, and acquire more customers.

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New Account Fraud In Numbers



Total losses projected from application fraud in the U.S. in 2021


Average loss per incident from credit card application fraud


Percent of financial institutions that experience fraud in the account opening process


Average loss per incident from synthetic identity fraud

How Can You Trust a New Customer You Have Never Seen Before?

Through innovative research, a decade of data, and proven results, BioCatch risk models analyze a user’s physical and cognitive digital behavior to distinguish between genuine users and criminals in order to detect fraud and identity theft and to improve customer experience. By profiling user behaviors such as mouse movements, typing cadence, swipe patterns or device orientation, the BioCatch platform, powered by machine learning, identifies statistically observed norms for “good” and “bad” behavior.

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Behavior Tells All in a Digital World

During account opening, typing speed, swipe patterns, and every click of the mouse tells a story – one of cybercriminal activity or genuine user behavior. BioCatch pulls together advanced behavioral insights to empower organizations with increased visibility into risk. Even when you have never seen a user before, BioCatch quickly spots trusted behaviors to create a smooth customer journey during account opening.

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BioCatch Delivers Account Opening Protection to Help Your Organization:

Did You Know?

64% of confirmed account opening fraud cases detected by BioCatch showed behaviors indicating lack of familiarity with data.


Only BioCatch delivers insights on:

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    Application Fluency
    How familiar is the user with the account application process?

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    Expert User Patterns
    Does the user display advanced computer skills compared to the general population?

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    Low Data Familiarity
    How familiar is the user with personal data?

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    Age Analysis
    Do the human-device interactions align with the common behavior patterns associated with users of a certain age group?

Actionable Behavioral Insights Start Here

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