Incode First to Achieve iBeta’s Highest Level of Independent Identity Security Testing on Both iOS and Android With 0% Error Rate

Incode Technologies, Inc., the global leader in identity security and fraud prevention, today announced that iBeta PAD testing confirmed Incode’s face liveness technology achieves Level 3 Presentation Attack Detection (PAD) conformance under ISO/IEC 30107-3.

"We are the first company to independently achieve iBeta Level 3 conformance on both iOS and Android – with zero errors and without adding friction to users," said Ricardo Amper, Founder & CEO at Incode. "That combination matters. It proves we can meet the highest bar for liveness assurance while keeping onboarding fast and easy, even in regulated and high-risk environments."

Face liveness technology is used in digital onboarding and authentication to confirm a real, live person is present during a selfie capture – not a printed photo, video replay, mask, or other spoofing attempt. It enables organizations to defend remote identity verification flows against account takeovers, synthetic identity fraud, and impersonation scams.

Incode’s solution is passive and completes verification with a single selfie, reducing friction compared to challenge-based experiences while maintaining strong resistance to sophisticated presentation attacks.

This level of assurance matters most at scale – where identity decisions impact conversions, fraud losses, and customer trust across millions of users. Incode operates at that scale, powering trusted experiences for 8 of the top 10 U.S. banks, 8 of the top 9 telecom companies, the top 3 global neobanks, and 4 of the top 5 marketplaces worldwide. To date, Incode has processed more than 7.1 billion trust checks.

From Level 1 to Level 3. A clear progression

In 2019, Incode launched a passive liveness model designed to detect common 2D presentation attacks including printed photos and replay attacks. That release led to Incode becoming the first vendor to pass iBeta Level 1 using a passive liveness approach.

By 2022, Incode expanded its defenses to address advanced 3D mask attacks while continuing to strengthen 2D detection. These improvements enabled Incode to pass iBeta PAD Level 2 testing in early 2023.

In 2026, Incode achieved iBeta PAD Level 3 conformance on both iOS and Android, with a perfect score.

Independent validation at the highest PAD level

"iBeta Level 3 is designed to simulate well-resourced attackers using hyper-realistic masks and specialized fabrication techniques intended to challenge modern biometric systems," said Evan Call, Business Development Manager and Director of Biometrics Sales and Marketing at iBeta Quality Assurance. "Incode’s results demonstrate conformance at Level 3 on both iOS and Android, with 0% APCER and 0% BPCER reported during testing."

APCER (Attack Presentation Classification Error Rate) captures whether spoofing attempts are incorrectly accepted, while BPCER (Bona Fide Presentation Classification Error Rate) captures whether legitimate users are incorrectly rejected. Incode reported 0% on both metrics – no presentation attacks were accepted, and no legitimate users were rejected during the evaluation.

Incode’s verification is completed from a single selfie capture, with no challenge prompts (such as turning head, or smiling), helping reduce friction while maintaining strong resistance to sophisticated presentation attacks.

Why this matters now

Digital onboarding has become the primary gateway to financial services, marketplaces, and government platforms - making identity assurance a critical control point for both security and growth.

Organizations face mounting pressure to reduce fraud losses while minimizing false rejections that disrupt user experience and impact revenue. But as attackers become more sophisticated, it’s increasingly difficult for teams to evaluate liveness vendors under the most demanding real-world conditions, especially across devices, environments, and advanced presentation attacks. Independent testing at the highest available PAD level helps buyers cut through claims and identify the solutions that hold up when stakes are highest.

This milestone reflects Incode’s continued commitment to proprietary innovation and world-class engineering talent globally.

About Incode

Incode is the global leader in trust and identity. Incode’s state-of-the-art AI platform offers a highly secure and seamless AI-based experience that eliminates fraud and drives growth for businesses. With its mission to power a world of trust, Incode works with many of the world’s largest banks, fintechs, telcos, governments, and marketplaces. Incode is headquartered in San Francisco and has offices in Europe and Latin America.

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