Portfolio · Machine learning · Biometrics · Security
Biometric security for ML-powered consumer products released to more than a million people. We build it, and then we attack it.
Camera-driven biometrics, facial recognition and fingerprint scanning, are only as trustworthy as their resistance to spoofing. Our client needed both sides of that problem covered: rigorous validation of the biometric stack, and offensive testing that finds the failure modes attackers will find first.
We build and validate the biometric security for ML-powered products in production, and we run structured penetration testing against facial-recognition and fingerprint systems: presentation attacks, spoof artifacts, and hard edge cases, exercised at consumer scale.
Shipped in products used by more than a million consumers, with vulnerabilities found and fixed before launch instead of after.
Client engagements are confidential, so this work is described in general terms.
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Took a novel sensing technology from prototype to a shipping consumer product, including factory-line calibration and high-volume QA.
Read the case study → Electrical · Mechanical · SoftwareCamera and sensor integration, real-world data collection, and reliability testing for a platform deployed at consumer scale.
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