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Instantly Identify High-Risk Devices to Prevent Fraud

Consumers are going online to conduct business more than ever before. And when it comes to opening credit card accounts, checking/savings accounts and retirement accounts, consumers increasingly prefer digital channels to get the job done, giving them the instant gratification they have become accustomed to in our increasingly connected world, without adding undue friction.

Unfortunately, sophisticated fraudsters are always on the lookout for a new weak spot to help them steal from consumers and businesses alike. While widespread web adoption drives down acquisition costs, it’s also largely an anonymous interaction, creating a critical vulnerability for fraud.

How Do You Quickly Sort Legitimate from Fraudulent Without Friction?

Rigorous identification standards often mean excessive cost and undue consumer friction, but the last thing you want to do is expose your business or customer to account origination fraud. How can you give legitimate consumers the straightforward digital experience they crave while minimizing your organization’s risk exposure?

Neustar Digital Identity Risk

Neustar quickly flags devices at high risk for fraud, separating legitimate applicants from fraudsters. Using a host of digital elements, including IP, browsing, phone activity, and connections to digital footprints to person or household, Neustar corroborates the digital information against authoritative offline consumer data and provides your decisioning engine with a lift to your models through differentiated data above and beyond your current data that indicates the trustworthiness of the digital identity.

In simple terms, Neustar sorts users intelligently and reliably into a high risk vs. low risk bucket, so that you can quickly identify and let through the legitimate low-risk consumers, while putting additional verification steps in place for high-risk, potentially fraudulent account openings.

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