We are excited to share that SpoofSense Face Liveness Detection has successfully achieved iBeta Level 2 compliance under the stringent ISO 30107-3 Presentation Attack Detection (PAD) standards. This milestone underscores our commitment to delivering the most advanced and secure passive liveness detection technology in the industry.
During testing, our proprietary passive liveness detection system faced 750 sophisticated presentation attacks using hyper-realistic silicone masks, latex masks, digital 3D face renders, and more. SpoofSense achieved a perfect detection rate of 100% with 0% False Acceptance Rate (FAR), demonstrating our technology’s robustness and reliability.
What is iBeta ISO 30107-3 Level 2 Testing?
ISO 30107-3 is an internationally recognized framework for evaluating the effectiveness of biometric systems against Presentation Attacks (PAs). iBeta, an accredited testing lab under NIST/NVLAP (Lab Code: 200962), conducts rigorous tests to assess biometric security.
Key Features of Level 2 Testing:
Advanced Attack Types: Includes sophisticated techniques like 3D masks and high-quality digital forgeries.
Material and Expertise Requirements: Allows up to $300 for materials and moderate expertise to craft attacks.
Performance Metrics: Vendors must maintain a False Acceptance Rate (FAR) below 1%.
Only a select group of companies worldwide have achieved iBeta Level 2 compliance, making SpoofSense part of an elite group of biometric leaders.
Why Passive Liveness Detection is Superior
SpoofSense’s passive liveness detection technology leverages advanced deep learning to analyze skin textures and facial depth, which determines if the input is from a live person or a spoof attempt. Unlike active liveness detection, which requires user interaction, passive systems work seamlessly in the background.
Advantages of Passive Liveness Detection:
Frictionless User Experience: No need for users to perform actions like eye-blinking or head movements, ensuring a seamless process.
Enhanced Security: Effectively detects high-quality forgeries, including deepfakes and 3D masks.
Cross-Platform Compatibility: Easily integrates into mobile apps, web platforms, and enterprise systems.
Ethical and Bias-Free AI: Ensures diverse datasets for unbiased performance across all demographics.
Key Metrics from iBeta Level 2 Testing
Metric | Result |
|---|---|
Total Presentation Attacks (PAs) Correctly Detected | 750/750 |
False Acceptance Rate (FAR) | 0% |
These results reaffirm SpoofSense’s status as a leading provider of secure and reliable biometric solutions.
Applications of SpoofSense Face Liveness
SpoofSense’s solutions are transforming identity verification across industries:
Banking and Financial Services (BFSI): Protects against fraudulent account openings and ensures secure onboarding.
Government and National Security: Enhances border control and citizen verification processes.
Cryptocurrency Exchanges: Safeguards against identity theft and account takeovers.
KYC and AML Compliance: Automates identity verification to meet regulatory standards.
Airports and Transportation: Enables efficient passenger screening with robust security.
Driving Innovation in Biometric Security
At SpoofSense, this achievement is part of our larger vision to create AI that delivers world-class performance for secure and effortless identity verification.
With SpoofSense Face Liveness, including our advanced Deepfake Detection technology, you can trust that your identity verification processes remain secure and effortless.
