Veridas, a company specialized in the development of biometric solutions for digital identity verification, has obtained the ISO 30107-3 compliance report after passing the Presentation Attack Detection (PAD) level 2 test conducted by iBeta Quality Assurance. This is a further milestone in its commitment to the continuous improvement of its software and the independent evaluation of biometric technologies.
In this way, Veridas joins a small number of technology companies in the world present in the NIST facial biometrics assessments, and also compliant with ISO 30107-3, being the only company in the world if the NIST voice assessment is added.
Veridas liveness detection passed the first level of iBeta in December 2020 and has now successfully completed the second level assessment. In this case, over 700 impersonation attempts have been passed with 100% effectiveness.
What is Presentation Attack Detection (PAD)?
Within the field of biometrics, presentation attacks consist of presenting a fraudulent human artifact or feature to the biometric capture subsystem in a way that interferes with the policy of the system itself. That is, they consist of showing the camera a consistently manipulated artifact or biometric feature to fool the biometric system. That is why the detection of such, which plays a vital role in ensuring the reliability of the process, is relevant in facial recognition systems. Presentation Attack Detection (PAD) methods allow discerning between fraudulent and real biometric data.
What is iBeta and ISO 30107-3?
iBeta Quality Assurance is a biometric laboratory accredited by the FIDO (Fast Identity Online) Alliance and authorized as a testing laboratory by the National Voluntary Laboratory Accreditation Program (NVLAP) in accordance with ISO/IEC 17025: 2017. iBeta’s Quality Assurance experts work with a wide range of biometric technology companies to ensure products perform to the highest industry standards.
ISO 30107-3 is the test method designed to simulate user enrollment in a biometric authentication system. It is the way to test the effectiveness of liveness detection. Level 1, focused on simpler attacks, focuses on high-resolution digital and paper photos, high-definition challenge/response videos and paper masks. Level 2, focused on more sophisticated attacks, tests with realistic dolls and 3D masks made of resin, latex and silicone, as well as faces synthesized by digital imaging.
Veridas at the forefront of the fight against fraud
Compliance with the ISO 30107-3 level 2 standard once again demonstrates the robustness of Veridas solutions against identity fraud and possible attacks that may be carried out in the online registration and authentication processes of its customers.
Veridas incorporates a high layer of anti-fraud technology throughout its software, from the capture of data by the user, to the analysis and verification of this evidence by its Artificial Intelligence engines