Credit: Google News
Identity verification technology has been used to detect fraud since the digital ecosystem matured to the point where it could support frequent transactions, but with identity theft increasing faster than any other crime in the U.S., and 1 in 60 attempted online transactions being fraudulent, it is clear that legacy approaches to fraud prevention are not working. Onfido has published a series of white papers to address this problem.
The white papers show businesses how to leverage advances in artificial intelligence and machine learning to not only detect, but defeat fraud attempts of any kind, from anywhere.
The first white paper in the series, “How to detect the 7 types of document and identity fraud” describes how new technologies address the range of methods that have previously been used to skirt various fraud-detection systems. “A guide to digital identity verification: the tech and trends” examines the shifting global identity landscape, provides technical insights into solutions companies can adopt, and explains how Onfido’s own proprietary machine learning techniques power its market-leading technology to enable any customer with an identity document and an internet connection to be securely onboarded. Onfido also shares “How to combat fraud in 3 easy steps,” with practical steps for spotting and stopping criminal activity.
Onfido’s subject matter expertise can be seen from its recent partnership with INTERPOL to train government officials in Southeast Asia in detecting fraudulent ID documents. More than 1,500 organizations rely on Onfido’s technology to prevent fraud, and the company was recently appointed a position on the FIDO Alliance’s Board of Directors.
Businesses onboarding customers or carrying out online transactions can learn about the latest advances and trends in identity verification by registering to download all three free white papers today.
artificial intelligence | biometrics | fraud prevention | identity verification | machine learning | Onfido
Credit: Google News