Summary is AI-generated, newsdesk-reviewed
  • Neurotechnology achieves ISO Level 2 compliance for biometric Presentation Attack Detection (PAD) technology.
  • Face liveness detection resists sophisticated spoofing attacks like 2D masks and shallow fakes.
  • BixeLab confirms Neurotechnology PAD's robust security with low False Rejection Rate (FRR).

Neurotechnology has announced that its face liveness detection technology has passed a stringent Level 2 (Level B) Presentation Attack Detection (PAD) evaluation.

This assessment, conducted independently, verifies that upcoming releases of the MegaMatcher SDK and MegaMatcher ID will be compliant with the ISO/IEC 30107-3 standard, showcasing resilience against complex biometric spoofing attacks.

Advanced Presentation Attack Detection

Pioneering security in biometric systems, Presentation Attack Detection is instrumental in distinguishing between a real biometric trait and a fraudulent attempt.

Level 1 testing typically counters basic attacks using photos on paper or screens. However, Level 2, also known as Level B, challenges the system with advanced techniques such as 2D paper masks with cutouts, curved surface projections, shallow fakes, and balaclava masks.

Challenges in Facial Biometrics

The growing integration of facial biometrics in critical areas like banking and digital onboarding demands

The growing integration of facial biometrics in critical areas like banking and digital onboarding demands advanced security measures.

"With the increasing use of facial biometrics in high-stakes applications like banking and digital onboarding, the sophistication of spoofing attempts continues to evolve," said Mantas Kundrotas, Liveness Project Lead at Neurotechnology.

"Achieving ISO Level 2 compliance validates our commitment to staying ahead of these threats. It ensures that our clients can deploy our solutions with confidence, knowing they meet the demanding international security standards without compromising user convenience."

Verification by BixeLab

Neurotechnology's liveness detection algorithms were rigorously evaluated by BixeLab, a biometric testing lab accredited by NVLAP (Lab Code: 600301-0).

The test results confirmed the algorithms' strong security capabilities, efficiently thwarting most sophisticated spoofing attempts while ensuring a low False Rejection Rate (FRR) for legitimate users.

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