Liveness detection technology by Jumio increases the security of your biometric and facial recognition technology. An algorithm securely detects whether a biometric authentication sample is a live human being or a fake representation.
Massive, broad-scale data breaches and the resulting rise of the dark web mean legacy identity verification and authentication methods have been compromised. Deepfakes, bots and advanced spoofing attacks have made liveness detection a must-have feature in any biometric-based verification solution. Jumio integrates NIST-compliant liveness detection to thwart the well-documented vulnerabilities in less robust liveness technologies and biometric systems that are susceptible to spoofing.
Jumio steers clear of gesture-based gimmicks, like asking a user to blink, move their eyes or speak a random passcode, as these techniques add friction to the experience, and are also easily fooled by basic spoofing tactics. Jumio’s liveness detection simply requires the user to hold their mobile device at a natural angle. The solution then performs liveness and anti-spoofing detection using advanced selfie technology to ensure the user is real (not a photo, video or paper copy), is not wearing a mask and is physically present at the time of the detection. Active liveness detection algorithms use neural networks to help defend against fraudsters, identity theft and spoofing attempts to increase fraud prevention.
Jumio’s liveness detection has passed Levels 1 and 2 testing by NIST/NVLAP Accredited Lab iBeta for ISO Presentation Attack Detection, conducted in accordance with the ISO/IEC 30107-3 standard and in alignment with the ISO/IEC 30107-1 framework. In addition, it has been extensively tested by a range of third-party organizations including national governments.