Thales has launched its Identity Verification Suite, in response to the rising need of remote client onboarding. With privacy and user experience as its heart, the IDV Suite enables a secure and 100%-AI identity verification service. It integrates the latest facial recognition technology, document security features recognition and machine learning engines. The solution addresses the Covid-19 environment with touchless interactions, allowing service providers to reach end users via their mobile handsets or the web.
Secure identity verification has become a crucial part of online security and digital onboarding, and constitutes a significant opportunity for businesses. In cases such as digital enrolment or KYC (Know Your Customer) regulations, ID verification is critical in order to efficiently detect fraud and therefore build user trust in the digital world.
The IDV Suite designed by Thales allows a secure and smooth user journey for markets from the travel industry (airlines and airport security, car rental companies, public and private transportation), telecom operators, banks, citizen services (International Driving Permit), and all types of online service providers looking to meet their KYC needs. To ease the deployment of the solution, Thales provides flexible onboarding options including a highly secure connection to Thales IDV server in SaaS (Solution as a service) mode.
The modular solution offers flexibility to deploy a single solution across all channels, whether through mobile applications, websites, or a network of dedicated document scanners, thus aligning with the security expectations of each industry. From checking the validity of the Machine-Readable Zone (MRZ) of an ID document to more advanced control under white light, infra-red and UV checks, the suite can also securely perform contactless NFC verification using the chip of e-documents.
Advanced facial biometric technology is also a key feature in the IDV Suite, integrating passive liveness detection to facilitate end-user experience. The customer is asked to take a selfie, and then the solution transparently analyzes the liveness of the selfie and securely matches it against the portrait on the ID document, allowing for quick and efficient identity biometric verification.
