Pearson Professional Assessments says it will add palm print authentication to its exam security stack through a partnership with Redrock Biometrics, integrating the vendor’s PalmID technology across its global testing network. Pearson is framing it as a way to increase precision and security while maintaining candidate privacy.
Pearson says it already uses palm vein recognition as part of test-taker authentication and has done so since 2006. The addition of PalmID is presented as an enhancement that will complement existing biometric controls and support more consistent authentication across delivery formats. The release also highlights PalmID’s claimed ability to work on any device with a camera, which is notable given Pearson’s mix of in-center testing and online proctored exams.
The deployment plan described by Pearson begins with rollout in mid-2026, subject to local regulatory permissions. Pearson says the first phase will target test centers that already have a palm vein device in place, with online proctored delivery expected to follow. The sequencing suggests Pearson is initially building on established in-center infrastructure while preparing to extend palm biometrics into remote contexts, where candidate authentication and fraud prevention remain persistent challenges.
Pearson frames the initiative as global in scope, pointing to its delivery footprint of 20,000 test centers and online proctoring availability in more than 180 countries and territories, and nearly 21 million certification and licensure exams delivered annually. For Redrock, the partnership represents an opportunity to expand PalmID into a large-scale, high-frequency authentication environment.
Pearson executive Mike Nealis describes the objective as providing a single, seamless authentication approach across testing modalities. Redrock CEO Hua Yang emphasizes scaling a next-generation biometric solution with an emphasis on privacy. In parallel, Redrock’s PalmID marketing materials highlight palm biometrics as a high-assurance modality, often positioned around accuracy and active, consent-based presentation.
Sources: Pearson VUE, PalmID
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By the ID Tech Editorial Team
