Adobe launches biometric selfie and ID document service to verify e-signatures
Adobe has launched a new suite of features for its Document Cloud, including Government ID Authentication with facial verification, to help identify document signers and enable regulatory compliance by banks and other businesses, VentureBeat reports.
The company says that 8 billion signature transactions have been completed in its Document Cloud in the past 12 months, and that more than half of Fortune 100 companies use Adobe Sign. Now, using Government ID Authentication powered by Adobe Sign’s machine learning cloud service, users can submit a selfie and government ID verification service on an Android or iOS device to prove who they are. Government ID Authentication performs a biometric comparison between the selfie and ID document, and refers to a database of supported ID templates from different states and countries. If verification fails three consecutive times, the user is locked out.
Eliminating paper-based signatures and other processes in favor of digital ones is part of the motivation.
“This smart new way to authenticate a remote signer takes only seconds, but it delivers a great signer experience, while reducing identity fraud concerns for the company,” Adobe Document Cloud Senior Product Marketing Manager Mike Prizament told VentureBeat. “Providing this higher level of signer identity authentication will help our customers implement e-signatures in a whole host of new business processes.”
Adobe Sign now also supports several new HR services, including Microsoft Dynamics 365 for Talent and ServiceNow HR Service Delivery, and Prizament says it is the first e-signature product integrated with them. Adobe Acrobat PC and Acrobat Reader on Windows are also adding support for Microsoft Information Protection (MIP) so users can apply security labels to documents and view secured PDF files.
Aircraft maintenance company Magnetic MRO rolled out a fingerprint-based e-signature system earlier this year as part of its move away from paper documents.