SheerID goes global with its automated student verification

SheerID gives automated verification for careers and existence that may obtain reductions, corresponding to faculty college students, lecturers, first responders, or navy service members who can get on-line value reductions or unique presents.

Last week, the Portland, Oregon-based firm introduced that its immediate student verification, which had been accessible in about 5 dozen international locations, is now accessible nearly worldwide in 191 international locations. SheerID stated this represents the primary worldwide automated student verification for faculty and college college students.

Nearly 9000 knowledge sources

CMO Sai Koppala instructed ClickZ web site with a student low cost will ask for the student’s title, faculty or college and date of delivery for verification. Client corporations embrace Amazon, Lowe’s, Spotify and T-Mobile.

SheerID then checks that info via practically 9000 authoritative knowledge sources, both via an association with the registrar of that faculty, or via an aggregator of such data.

Koppala says his firm is the one one providing automated student verification on a large scale, and that the 2 nearest opponents – Unidays and Student Beans – require that college students first arrange verified accounts.

New anti-fraud measures

Additionally, SheerID additionally introduced two new anti-fraud measures.

When a student submits an e mail handle, SheerID now verifies via a partnership with White Pages Pro that the e-mail belongs to that student. Koppala stated that that is achieved by White Pages’ matching of varied knowledge units to verify that this e mail handle has been beforehand utilized by this individual.

SheerID stated that conventional strategies of verifying student emails, together with ones utilized by SheerID, merely verified that the school or different e mail area was legitimate and will end in fraud charges as excessive as 35%.

The different new anti-fraud measure is using machine learning-based sample matching to raised detect the authenticity of student paperwork that could be uploaded as a part of some sorts of verification.

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