A few years ago, identity fraud largely revolved around stolen credentials and forged documents. Today, fraudsters use generative AI tools to create realistic face swaps, inject synthetic video feeds, and manipulate video liveness checks in real time.
These attacks are becoming widely accessible, and that, in turn, creates new challenges for organizations that rely on remote identity verification.
To combat these attacks, you’re probably evaluating KYC providers that can identify sophisticated deepfakes, detect face-swap manipulation, and verify that the person completing onboarding is physically present and matches the claimed identity.
Some examples of these KYC providers include GBG, Shufti Pro and Jumio. In this article, we will compare their capabilities to help you make a more informed decision.
|
Capability |
GBG |
Shufti Pro |
Jumio |
|
Deepfake Detection |
100% deepfake injection attack detection and 99% detection for DeepFaceLive |
Analyzes visual signals and frequency-domain representations |
AI-powered defense within its identity verification platform |
|
Liveness Detection |
ISO-certified passive liveness testing |
Supports active and passive liveness detection |
ISO/IEC 30107-3 Level 2 PAD conformance |
|
Face Matching |
Compares ID photos against selfies using 68 biometric facial landmarks |
Uses 6-point comparison with aging-awareness |
Facial matching technology verifies document ownership |
We’ll introduce ourselves first: we are a global identity technology company that helps organizations defend against increasingly sophisticated forms of AI-generated identity fraud.
Our end-to-end identity verification platform, GBG Go, combines document verification, biometrics and fraud intelligence to help ensure the person completing onboarding is genuine while keeping the verification experience as quick and seamless as possible.

By partnering with us, businesses can:
Our biometric verification technology protects against both traditional presentation attacks and emerging AI-generated threats, including deepfakes, face swaps and video injection attacks.
Key capabilities include:
Many biometric providers still rely on active liveness checks that ask users to blink, smile or turn their head. While effective, these extra steps can increase abandonment during onboarding.
Instead, we use ISO-certified passive liveness detection to verify genuine human presence from a single high-quality selfie.
As Stefan Gajewski, Head of Product – Identity at GBG, explains:
"The companies that grow the fastest are the ones that adopt new technologies and make sure the consumer experience is spot on. If your onboarding journey is painful – more steps, upload a document, wait – people could go to a competitor where the process is quicker."

Here are two other alternatives to consider:
Shufti Pro is an identity verification platform that combines document verification, biometrics and liveness detection to help organisations detect presentation attacks and identity spoofing attempts during remote onboarding.
Key capabilities include:
Jumio is another KYC provider that helps you consolidate your identity verification by combining document checks and biometric authentication into a single session.
Key capabilities include:
Your provider should be able to defend against both traditional spoofing techniques and the latest generative AI threats. Evaluate solutions that offer:
Biometric verification should accurately confirm that the person presenting an identity document is the same person taking the selfie.
Look for:
Strong fraud protection shouldn't come at the expense of conversion rates. The right provider would ideally offer:
In summary, the right solution should be able to detect sophisticated generative AI attacks while keeping the onboarding experience fast and frictionless for genuine customers.
We combine ISO-certified passive liveness detection with advanced biometric verification and AI-powered fraud detection to help businesses stop deepfakes, face swaps and injection attacks before fraudulent accounts are created.
A video injection attack is when a fraudster bypasses a device's physical camera and feeds a pre-recorded or AI-generated deepfake video directly into the KYC application to fool liveness checks.
Passive liveness analyzes a single frame for microscopic details that AI struggles to replicate, such as the specific way natural light reflects off a human cornea or the unique texture and elasticity of real skin.
Yes, many standard facial recognition systems only check for matching features between two images. Without specific deepfake detection and liveness layers, they can’t determine if the face in the selfie was generated by AI.
Yes, this is the international standard for testing Presentation Attack Detection. Conforming to this standard proves that a provider's biometric technology has been independently verified to block spoofing attempts effectively.
Sources:
*Disclaimer: Information relating to third-party products and companies referenced in this article is based on publicly available sources and official publications at the time of writing. While reasonable efforts have been made to ensure accuracy, product features, positioning and company information may change and GBG does not guarantee that all information remains current or complete.
Nothing in this article constitutes an endorsement, recommendation or ranking of any third-party provider. Readers should consult each provider’s official website and conduct their own assessment before making any purchasing decisions.
To request an update or correction, please contact communications@gbg.com