Summary is AI-generated, newsdesk-reviewed
  • Iris ID's iA FacePAD achieves Level 2 PAD compliance against biometric spoofing attacks
  • iA FacePAD integrates facial and iris recognition for enhanced security amid rising deepfake threats
  • Iris ID's biometric solutions meet global standards with rigorous iBeta Quality Assurance testing

Iris ID announced a significant milestone in biometric security with its iA FacePAD algorithm version 2.5.3 achieving Level 2 Presentation Attack Detection (PAD) compliance.

The highly regarded iBeta Quality Assurance conducted the assessment, utilizing Iris ID’s iBAR 600E device alongside the iBAR 600E CS REST API demo application. This advancement from Level 1 to Level 2 compliance highlights Iris ID’s dedication to enhancing biometric solutions that effectively combat sophisticated spoofing methods, thus ensuring robust protection of identities.

Evaluating biometric countermeasures

For more than a quarter-century, iBeta Quality Assurance has been a pivotal provider of rigorous software testing services for esteemed global brands. Notably, its PAD testing adheres to the stringent ISO/IEC 30107-3 standards, offering a comprehensive evaluation of biometric countermeasures. This testing assesses the resilience of biometric systems against presentation attacks, which usually occur during the capture phase.

The transition from Level 1 to Level 2 PAD compliance introduces more challenging testing conditions designed to simulate real-world and adversarial circumstances. Key differences include:

  • Assessments conducted under less predictable capture conditions
  • Substantially increased security thresholds surpassing Level 1 standards
  • Evaluation against a broader array of sophisticated Presentation Attack Instruments (PAIs)
  • Incorporation of higher-quality attack artifacts, such as advanced print media and realistic mask presentations

Multimodal biometric solutions

The Level 2 assessment involved alternating between genuine and artifact presentations

The Level 2 assessment involved alternating between genuine and artifact presentations, consisting of 150 attack trials and 50 authentic presentations over a 24-hour period. 

Notably, iBeta's testing yielded zero successful captures of attack attempts out of 750, resulting in an Attack Presentation Classification Error Rate (APCER) of 0%. Recognised for its prowess in iris recognition technology, Iris ID continues to innovate in multimodal biometric solutions, which combine facial and iris recognition to elevate security measures, particularly in response to the rising sophistication of deepfakes and identity fraud threats.

Delivering enhanced security

Mohammed Murad, Chief Revenue Officer at Iris ID, remarked, “Iris ID is strengthening its commitment to defending 'One Trusted Identity.' Our rapid progression from Level 1 to Level 2 compliance reflects the dedication and expertise of our engineering team and reinforces our ability to meet today’s market demands while innovating for the future.”

Iris ID remains steadfast in delivering solutions that inspire confidence and trust among partners and customers globally.

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