ISO 30107-3 vs. iBeta PAD Level 2: Liveness Detection Standards

ISO 30107-3 Sets the Global StandardThis international standard defines methodologies for testing the resistance of biometric systems to presentation attacks (spoofing), providing a framework for evaluating liveness detection performance across various attack types.

iBeta PAD Level 2 Offers Rigorous CertificationiBeta's certification, particularly Level 2, involves stringent, independent testing against sophisticated presentation attacks, offering a practical, third-party validation of a system's anti-spoofing capabilities.

Choosing the Right Standard for Your NeedsOrganizations must evaluate their specific risk profiles and compliance requirements to determine which standard, or combination thereof, best assures the integrity of their biometric verification processes.

Didit Exceeds Industry BenchmarksDidit's AI-native Passive and Active Liveness Detection, including 3D Flash and 3D Action & Flash methods, are designed to surpass the security requirements of both ISO 30107-3 and iBeta PAD Level 2, offering unparalleled protection against even advanced deepfake and spoofing attempts.

The Critical Role of Liveness Detection in Biometrics

In an increasingly digital world, biometric authentication has become a cornerstone of identity verification. However, the rise of sophisticated spoofing techniques, from printed photos to advanced deepfakes, necessitates robust liveness detection. Liveness detection ensures that the biometric data being presented comes from a live, present individual, not a fraudulent reproduction. Without effective liveness detection, even the most advanced biometric systems are vulnerable to presentation attacks (PAs). This is where industry standards like ISO 30107-3 and iBeta PAD Level 2 play a pivotal role, providing benchmarks for evaluating a system's anti-spoofing capabilities. Didit's Liveness Detection, including its Passive & Active Liveness methods, is engineered to provide enterprise-grade protection, achieving 99.9% accuracy with a false acceptance rate (FAR) of less than 0.1% against these threats.

ISO 30107-3: The International Framework for Anti-Spoofing

ISO/IEC 30107-3 is an international standard that provides a framework for evaluating the performance of presentation attack detection (PAD) mechanisms in biometric systems. It defines common terms, specifies attack types, and outlines testing methodologies. This standard is not a certification in itself but rather a guide for how to conduct PAD testing. It categorizes presentation attacks based on their complexity and the materials used, providing a comprehensive approach to understanding and mitigating spoofing risks. For instance, it differentiates between simple 2D attacks (like photos or screen replays) and more complex 3D attacks (like masks). Adhering to ISO 30107-3 principles helps organizations ensure their biometric systems are evaluated against a globally recognized set of criteria, fostering trust and interoperability. Didit's Liveness Detection methods are developed with these international standards in mind, ensuring a broad spectrum of attack vectors are covered, from standard to the most sophisticated.

iBeta PAD Level 2: Independent, Real-World Certification

While ISO 30107-3 provides the theoretical framework, iBeta PAD Level 2 certification offers independent, third-party validation of a liveness detection system's practical effectiveness. iBeta is a NIST-accredited lab that conducts rigorous testing against a wide range of presentation attacks. Level 2 certification signifies that a system has demonstrated a high level of resistance against sophisticated spoofing attempts, including realistic masks, high-quality printed photos, and digital video replays. Achieving iBeta Level 2 is a strong indicator of a system's maturity and robustness in real-world scenarios, giving businesses confidence in its ability to prevent fraud. This certification is particularly valuable for industries with high-security requirements, such as banking, healthcare, and government applications, where the cost of fraud is significant. Didit's commitment to robust fraud prevention means its Liveness Detection technology is designed to meet and exceed the stringent requirements of certifications like iBeta PAD Level 2, providing unparalleled security. Our 3D Action & Flash method, for example, combines randomized action sequences with dynamic light pattern analysis, making it nearly impossible to spoof with static images, videos, or even advanced masks.

Comparing the Standards: Framework vs. Certification

The key distinction between ISO 30107-3 and iBeta PAD Level 2 lies in their purpose. ISO 30107-3 is a foundational standard that describes how to test for presentation attacks. It's a guideline for manufacturers and testing labs. iBeta PAD Level 2, on the other hand, is a specific, independent certification based on rigorous testing protocols that often align with or exceed the principles outlined in ISO 30107-3. An organization implementing a biometric system might look for a vendor whose liveness detection solution has been tested in accordance with ISO 30107-3 and, ideally, has also achieved iBeta PAD Level 2 certification. The latter provides an external, unbiased stamp of approval regarding the system's anti-spoofing capabilities. For businesses, choosing a solution that meets or exceeds both these benchmarks ensures maximum protection against evolving fraud tactics. Didit's modular architecture allows businesses to integrate the most advanced Liveness Detection methods, ensuring compliance and superior security.

How Didit Helps

Didit provides an AI-native, developer-first identity platform with cutting-edge Liveness Detection capabilities designed to surpass the security requirements of both ISO 30107-3 and iBeta PAD Level 2. Our solution includes Passive & Active Liveness, 3D Flash, and 3D Action & Flash methods, offering a tiered approach to security suitable for various risk profiles. Our Passive Liveness uses single-frame deep learning analysis to detect subtle indicators of liveness, while our 3D Flash method projects dynamic light patterns to create a depth map, distinguishing real faces from 2D spoofs. For the highest security, our 3D Action & Flash method combines randomized user actions with dynamic light analysis, making it virtually impervious to even the most sophisticated deepfake and mask attacks. Didit's modular architecture means you can easily integrate these advanced anti-spoofing measures into your existing workflows, orchestrate risk, and automate trust. We offer Free Core KYC, pay-per-successful check pricing, and no setup fees, making advanced identity verification accessible to businesses of all sizes.

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Didit's certifications & attestations

Didit is SOC 2 Type 1 (ATOM), ISO/IEC 27001:2022 certified (Bureau Veritas, cert ES144068), and iBeta Level 1 PAD tested (ISO/IEC 30107-3) with a 0% attack success rate across 360 attempts — and it is the only provider formally attested by an EU member-state government (Spain's Tesoro / SEPBLAC / CNMV) as safer than in-person verification.

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