IDology has added ExpectID Score to its suite of identity verification and authentication solutions.
ExpectID utilizes multiple data sources to verify an identity for any transaction where the customer isn’t present. This is done through knowledge-based authentication questions or by scanning documents like a driver’s license to verify the information.
The addition of ExpectID Score “gives the user the ability to assign values to the identity and fraud attributes, then categorize those attributes into risk thresholds,” says Chris Pope, director of Product Marketing for IDology. “The thresholds can also be assigned values to work with other scoring systems they may have in place already. This ability to assign values and easily update the scoring model is what we call Adaptive Scoring.”
The company says its new solution gives risk managers more options to pass, fail or escalate transactions and to group identity risk factors into distinct categories. That in turn can improve the client’s efforts with regulatory mandates like the Red Flags Rules.
“ExpectID Score with Adaptive Scoring will help organizations gain a broader view of the fraud tactics that they experience on a daily basis and be able to adapt to them more quickly,” says IDology CEO John Dancu. “Scoring models can be created on demand without extensive IT resources, giving users complete control over the scoring process.”
ExpectID users include financial institutions, payment companies, health care organizations, and e-commerce vendors. Pope says the solution works with “any type of business that has to verify identity in order to complete a transaction or grant access to information.”