Challenges with Existing Solutions
- Lack of automated fraud checks leads to slow processing, higher operational costs, and the potential for errors through manual reviews.
- Systems may lack real-time capabilities to detect both physical and digital tampering, increasing risk of accepting tampered documents
- Lack of efficient fraud detection can cause increased friction during the verification process, potentially leading to drop-offs and hindering the user experience.
- Current solutions struggle to detect instances of photo-on-photo fraud, compromising the overall integrity of the ID verification process.
What We Offer
- Comprehensive fraud detection with signature/thumbprint analysis, photo-on-photo verification, ongoing tampering monitoring, and screen capture/photo detection.
- Streamlined verification through automation, reducing manual reviews, and providing a seamless, user-friendly experience.
- Robust authentication for various ID documents to enhance the overall reliability of the verification process.
Input and Output
Integration Made Easy
100+ API integrations supported across regions and industries via ONE SDK
Integrate in less than a week
Dedicated customer support for smooth integration
Build End-to-end Journeys with HyperVerge ONE
Build end-to-end financial product onboarding journeys with ease
Configure user onboarding workflows and UI/UX without code.
Set automated fallback options to prevent user drop-offs during downtimes
Get analytics on conversion rates and optimize the friction points
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Visit Page >Frequently
asked questions
How does the fraud detection module handle signature and thumbprint detection for PAN cards?
Is there a method to identify manipulated documents submitted during the identity verification process?
Can the system recognize digital tampering attempts on electronic documents?