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Identity verification, Machine Learning, Aida, Identity theft, Fake identity

Eight Leading Indicators of Fraud in Aida’s Insights Report

Posted by Socure on Oct 3, 2018

Aida’s Insights on Identity theft report, the Fake ID Edition. It found that identity fraudsters have virtually eliminated any single reliable indicator for detecting fake identities online. Data gathered from Socure customer transactions by Aida, the company’s identity verification robot, reveals that when considering common signs of fraud the difference between authentic and fake identities is nuanced at best.

Identity verification, Fake identity

Dominant Theme at Finovate: Authentication Needs Fixing

Posted by Socure on Sep 17, 2015

If the identity management system is broken, it's not for lack of vendors offering solutions.

Banks have been on a mission to find the right technology to verify mobile and online customers in a way that is highly secure, yet "frictionless" (quick and painless for the consumer). Many banks have rolled out voice, fingerprint, iris, and facial recognition software during the past year. Time will tell whether any of these prove to be the answer. But solutions are needed more than ever, given the rise of mobile banking and the amount of personally identifiable information that's been stolen or is openly available on the Internet for fraudsters.

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