Jumio Enhances Security of Authentication Platform’s Desktop Channel

Jumio Enhances Security of Authentication Platform's Desktop ChannelJumio has announced a new feature of its Netverify authentication platform that should help to further curb fraud on the web.

The aptly named “Liveness Detection for Web” system is aimed at bolstering security of the desktop channel of Netverify, which leverages document reading and facial recognition to ensure that end users are who they say they are. While that’s a fairly straightforward proposition through mobile channels, since users can simply take a selfie and snap some pictures of their official ID documents, it entails somewhat greater risk through PCs, through which it’s easier to edit and upload fraudulent images. As Jumio explained in a statement announcing the new feature, it had found that fraudsters were “using high-resolution printouts, close up pictures from the ID document and even pre-recorded videos (in lieu of taking a real selfie)” in order to fool the system through the PC channel.

Liveness Detection for Web aims to stop all that by requiring that a desktop user hold up a note with a custom phrase and the current date when capturing their own image, a requirement that would seem to make spoofing considerably more difficult, if not impossible.

The feature has already gone live, and Jumio says it has already “had a significant chilling effect on fraudsters.” Attesting to the solution’s effectiveness, an official with the cryptocurrency exchange Binance said that Liveness Detection for Web “has actually helped improve our efficiency and acceptance rates”, adding that the feature “provides an extra level of assurance, helps us better comply with KYC and AML standards, and increases the trust and credibility with our users.”

The feature’s announcement arrives amid a growing chorus of industry praise for Jumio’s authentication system, most recently from the UK Digital Experience Awards. Likewise, market excitement about Jumio’s technology continues to grow, with Liveness Detection for Web poised to further burnish its appeal.