Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced the release of MegaMatcher ID 2025.2. This latest version of the digital identity authentication system introduces advanced ISO/IEC 30107-3 Level 2 Face Presentation Attack Detection (PAD) capabilities to help prevent digital identity fraud.
Available as a multi-platform SDK (Microsoft Windows, Linux, macOS, iOS, Android) and as a web service, MegaMatcher ID is designed for unsupervised identity authentication. It leverages multiple biometric modalities to provide greater flexibility and security compared to single-modality solutions. The versatile API supports enrollment, verification, face liveness and age estimation, image quality checks and ICAO compliance.
Ideally suited for digital onboarding, online banking and government e-services, it integrates seamlessly with other Neurotechnology products, such as MegaMatcher ABIS and MegaMatcher On Card, to manage complete biometric workflows.
The core advancement in MegaMatcher ID 2025.2 is the implementation of a new Face PAD Level 2 algorithm across both the Software Development Kit (SDK) and Web Service components. Designed to mitigate sophisticated spoofing attempts, this algorithm automatically distinguishes bona fide (live) user presentations from presentation attack instruments (PAIs), such as high-resolution video screens, 3D masks or sophisticated makeup.
The PAD Level 2 functionality has been independently evaluated in a controlled laboratory environment and certified as compliant with ISO/IEC 30107-3 requirements, ensuring high-confidence security for remote onboarding and authentication scenarios.
"As digital identity fraud becomes more sophisticated, our technology must evolve to stay ahead of threats without compromising the user experience," said Antonello Mincone, Business Development Director at Neurotechnology. "The inclusion of ISO-compliant PAD Level 2 in the MegaMatcher ID provides our clients with robust, laboratory-proven protection against presentation attacks."
This release also empowers integrators with control over the capture process through new, in-depth customization parameters. These include specific settings for final image selection, minimal and maximal inter-ocular distances and separate roll, yaw and pitch limits for detection and tracking stages. Additionally, users can now configure advanced liveness settings and tracker redetection periods to better suit specific use cases.
Other updates include expanded web capabilities, featuring a new API for finger image import and remote verification functionality, along with optimized management performance for large databases and added ICAO-standard warnings for noise and contrast.