Sumsub Liveness passes iBeta biometric fraud test

Sumsub, a global tech company specializing in identity verification and anti-fraud solutions, has announced a major milestone in the development of its Liveness detection technology. The firm’s solution has officially passed the iBeta Quality Assurance biometric testing process, meeting the stringent requirements of ISO/IEC 30107-3 standards. This accomplishment places Sumsub among a select group of providers whose systems demonstrate resilience against advanced biometric spoofing techniques, including deepfakes and presentation attacks.

The iBeta testing process—recognized internationally as a benchmark for biometric security—assessed Sumsub’s Liveness product across both Android and iOS platforms. Notably, the solution passed Level 2 of the Biometric Presentation Attack Detection (PAD) Standard with zero errors recorded during testing. This level of certification ensures that the tool can successfully detect and resist sophisticated forms of biometric fraud such as 3D masks, deepfake videos, and high-resolution photo attacks.

What is Liveness detection and why does it matter?

Liveness detection is a technology used in biometric verification systems to confirm whether the source of a biometric sample (like a face or fingerprint) is a real, live person or a fraudulent representation. It helps prevent spoofing techniques where criminals might try to fool identity systems using photos, videos, or even elaborate masks. In recent years, the rapid advancement of deepfake technology has made this type of security increasingly necessary.

Sumsub’s proprietary Liveness detection uses artificial intelligence and machine learning models to differentiate between real human activity and fraudulent attempts. This is vital for businesses in sectors such as fintech, crypto, gaming, and mobility services, which rely heavily on secure digital onboarding and authentication processes.

The growing threat of deepfakes and biometric fraud

The successful iBeta certification comes amid a significant surge in digital fraud, particularly those involving synthetic identities and deepfakes. Sumsub’s 2024 Identity Fraud Report reveals that the use of deepfakes in fraudulent activities has surged fourfold compared to the previous year, now representing around 7% of total fraud incidents. This alarming trend signals the growing sophistication of fraudsters and highlights the importance of advanced tools capable of identifying such threats in real time.

Vyacheslav Zholudev, Chief Technology Officer and co-founder of Sumsub, emphasized the significance of the achievement:

“iBeta Level 2 testing reflects our commitment to trust, quality, and staying ahead of fraud trends. The industry is facing a rise in attack sophistication and scale, and it’s essential that our solutions continue meeting the highest standards. Routine third-party testing like this ensures we’re prepared for these evolving threats.”

What the iBeta certification means

iBeta Quality Assurance, a U.S.-based software testing laboratory, is accredited by the National Institute of Standards and Technology (NIST) and globally recognized for its biometric testing services. The ISO/IEC 30107-3 compliance test evaluates how well a system can withstand biometric presentation attacks, such as attempts to fool the technology using fake representations of a user's biometric data.

Achieving Level 2 certification means that Sumsub’s Liveness detection system was tested against medium-complexity presentation attacks and was found to be completely resistant, with zero successful breaches recorded. This level of assurance provides clients with strong confidence that the technology can hold up in real-world environments where fraud is increasingly sophisticated.

AI-driven fraud detection as a defense mechanism

One of the key strengths of Sumsub’s Liveness solution lies in its advanced in-house artificial intelligence. Unlike basic solutions that rely solely on motion detection or blink analysis, Sumsub employs a multi-factor approach that analyzes facial micro-movements, 3D face modeling, and texture inconsistencies to distinguish live subjects from artificial media.

Moreover, this AI-driven system is continuously trained on new data to adapt to evolving fraud patterns. This real-time adaptability ensures that businesses using Sumsub’s tools can remain one step ahead of fraudsters.

Applications across industries

Sumsub’s technology is being integrated across a wide range of industries that require secure identity verification and fraud prevention tools:

Financial services: Banks and fintech companies use Sumsub’s tools to verify customers during remote onboarding and to ensure compliance with know-your-customer (KYC) and anti-money laundering (AML) regulations.

• Cryptocurrency platforms: Crypto exchanges require robust verification tools to maintain trust and protect against fraud in a largely decentralized ecosystem.
• Online gaming and gambling: Regulatory compliance in this industry often mandates strong identity verification systems to prevent underage gambling and ensure fairness.
• Mobility services and sharing economy platforms: Identity verification is vital to ensure the safety of both users and service providers on ride-sharing and rental platforms.

Building trust in digital identity

As businesses increasingly shift to digital-first operations, identity verification becomes a cornerstone of trust and security. Biometric solutions like Liveness detection play a crucial role in protecting users’ identities while ensuring a smooth and secure customer experience.

Successfully meeting iBeta’s stringent testing standards has strengthened Sumsub’s reputation within the highly competitive biometric verification industry. It assures clients that the company’s tools are not only technologically advanced but also rigorously validated through industry-standard testing.

Challenges and future of biometric verification

While the success of Sumsub’s Liveness solution marks an important step forward, the war against fraud is far from over. Cybercriminals are constantly evolving their methods to bypass biometric security measures. The growing advancement of generative AI is poised to make deepfakes increasingly lifelike and more challenging to identify.

To combat this, companies like Sumsub must continue investing in research, machine learning advancements, and ethical AI practices. Third-party evaluations like iBeta’s help set a standard of transparency and accountability, but ongoing innovation remains key.

In the future, biometric systems are expected to be more integrated with behavioral analytics and device intelligence to form multi-layered verification ecosystems. This shift toward holistic digital identity management may be the next frontier in the fight against online fraud.

Conclusion: A step forward in securing digital identities

Sumsub’s achievement in passing iBeta’s Level 2 PAD testing is more than just a certification—it is a testament to the company’s commitment to technological excellence and user protection. As fraudsters grow more creative and aggressive, the industry must respond with tools that are equally intelligent and resilient.

By continually testing, refining, and certifying their technologies, companies like Sumsub are playing a vital role in shaping the future of digital trust. Their work is essential not only for the industries they serve but also for the broader ecosystem of online safety and identity assurance.

FAQs

What is Sumsub’s Liveness solution?
It is an AI-powered biometric tool designed to detect whether a user is a live person or a fraudulent representation, such as a deepfake or mask.

What does iBeta Level 2 PAD certification mean?
It means the solution passed rigorous testing against medium-complexity biometric attacks with no errors, confirming its fraud resistance.

Why is Liveness detection important?
It prevents biometric spoofing, ensuring that identity verification systems are not tricked by photos, videos, or synthetic media.

How did Sumsub perform during iBeta testing?
Sumsub’s Liveness tool achieved zero errors across both Android and iOS platforms during the Level 2 PAD tests.

What industries use Liveness detection?
Industries like fintech, crypto, online gaming, mobility, and banking rely on it for secure digital identity verification.

How does Sumsub detect deepfakes?
It uses advanced AI models to analyze facial micro-expressions, 3D mapping, and inconsistencies in facial textures to detect fake inputs.

What is ISO/IEC 30107-3?
It is an international standard outlining requirements for biometric presentation attack detection testing and evaluation.

Is biometric fraud increasing?
Yes, according to Sumsub’s 2024 report, deepfake-based fraud has quadrupled year-over-year and now accounts for 7% of all fraud cases.

Can businesses trust AI for biometric security?
Yes, when validated by third-party testing like iBeta, AI-driven biometric tools provide strong and reliable fraud protection.

What makes Sumsub’s Liveness solution unique?
Its combination of in-house AI, multi-factor detection, continuous learning, and proven resistance to spoofing attacks sets it apart.