Prevent Identity spoofs and deep fakes during e-KYC and onboarding by ensuring the image belongs to the same individual
Choose from different types of modes as per your business requirements
Industry-leading API ensuring easy integrations with your existing workflows
Intuitive dashboards for frictionless onboarding and user experience.
Our Liveness Verification technology protects your biometric authentication against identity spoofing and misuse by verifying that the presented image is a real person via live video feed and gestures-based authentication. This seamless integration with your onboarding process provides a quick and accurate way to verify your users’ identities.
Building an additional layer of security for fraud prevention
Verify user’s authenticity automatically with our AI and ML enabled liveness detection check
Fast processing times with 100% accuracy and less than 3 seconds TAT (Turn Around Time)
Verify identity in real-time with highly accurate ML models for liveness detection, facematch & ID verification
Easily integrated into your existing screening workflow and onboarding platform with plug-and-play APIs
Accuracy Rate
Uptime
Average Response Time
Onboard genuine merchants, vendors, or any other third party to reduce risks & fruads
Stay compliant with KYC and AML mandates and significantly reduce onboarding TAT
AI Innovator Enabling Contactless World (NASSCOM AI Gamechangers Awards 2021)
User is required to upload a selfie or a short video of themselves through our dashboard. Our AI-enabled rule engine matches the user's facial details and liveness with the ID provided by them and generates an overall match score.
Active liveness check is the traditional method to detect liveness. It is a method of determining whether the source of a biometric sample is a human or a type of presentation attack. The presence of life is detected by asking the user to perform a simple task, such as watching a moving object on a screen or making a simple movement with one's head.
Passive liveness detection is a novel method of detecting liveness that operates in the background of the biometric facial verification process. Passive liveness verification is an important part of identity verification. Unlike active liveness checks, where the user is prompted to do things like follow a moving object on the screen or make head movements, passive detection gives no indication to the user that they are being tested. Passive detection is thus a more seamless method of detecting a presentation attack. Passive checks are also more difficult to forge than active checks.
AuthBridge Liveness verification API instantly verifies the user’s identity by matching the user’s selfie or video with the ID provided.
Authbridge Liveness verification API is highly accurate with a match of 100%
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