Iris ID’s FacePAD Algorithm Clears Level 1 iBeta Presentation Attack Detection (PAD) Compliance

The certification underscores Iris ID’s commitment to delivering solutions with the highest standards of biometric security, accuracy and reliability.

Iris ID recently announced that its FacePAD algorithm version 2.4.2 has successfully cleared the Level 1 iBeta Presentation Attack Detection (PAD) compliance tested with Iris ID iBAR 600E.

Conducted by iBeta Quality Assurance, the world’s leading third-party accredited biometric testing laboratory, the PAD test evaluates a product’s resilience against presentation attacks — commonly known as “spoofing.” Passing the Level 1 PAD assessment verifies that Iris ID’s FacePAD algorithm is highly effective at distinguishing between genuine biometrics of a live person and fraudulent attempts using fakes such as photos, videos, or masks.

By extending PAD capabilities to facial recognition, Iris ID reinforces its commitment to delivering the highest levels of security, privacy, and user convenience. This innovation further demonstrates the company’s vision to provide trusted, contactless identity authentication solutions that meet the evolving demands of governments, enterprises, and critical infrastructure worldwide.

“Achieving iBeta PAD Level 1 certification for the FacePAD algorithm is a major milestone that reinforces our leadership in the biometric market,” said Mohammed Murad, Chief Revenue Officer, Iris ID. “As demand for secure and convenient identity authentication grows globally, this certification gives our partners and customers confidence that Iris ID delivers trusted, field-proven solutions that protect against spoofing threats.”

With the successful completion of iBeta PAD testing, Iris ID continues to expand its portfolio of certified, world-class biometric technologies. These advancements help organizations meet stringent compliance requirements while ensuring the highest levels of trust, security, and convenience in identity authentication.