Back to All Solutions

Jumio Liveness

Jumio’s state-of-the-art liveness detection ensures your users are physically present and not a spoof

Advanced Biometric-Based Verification that Fights AI with AI

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 assisted by rapidly evolving generative AI have made liveness detection a must-have feature in any biometric-based verification solution.

Jumio Liveness increases the security of your biometric systems and thwarts the well-documented vulnerabilities in less robust liveness technologies. Our state-of-the-art, in-house technology takes fraud detection to the next level by detecting various sophisticated spoofing attacks, including multi-person presence in selfies, forced verification attempts, unconscious individuals, deepfakes, and injection attacks.

How it Works

1. ID Check

Is the identity document (ID) authentic and valid?

2. Selfie + Liveness Check

Is the person holding the ID the same person shown in the ID photo? Are they physically present during the transaction?

3. Risk-based Decision

Jumio calculates the fraud risk and approves or rejects the identity transaction in seconds based on your predefined risk tolerances.

Key Benefits

AI-driven Technology

Active liveness detection algorithms use neural networks to help defend against fraudsters, identity theft, deepfakes and other spoofing attempts to increase fraud prevention.

Intuitive User Experience

As easy as taking a selfie, users simply center their face on the screen. Jumio Liveness includes automated capture technology that provides real-time feedback, helping users capture optimal selfies with minimal friction. This reduces errors and improves identity verification conversions.

Advanced Selfie Technology

Jumio Liveness 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.