Biometric Verification

Experience security at its peak with Sodec’s Biometric Verification solutions to onboard and authenticate new users in the most secure and easy way.
Advanced AI Algorithms to Analyze and Authenticate Biometrics
Leverage advanced AI algorithms to analyze and authenticate unique physical traits, such as fingerprints or facial features. By integrating these technologies with document verification processes, our solution ensures you an accurate, secure, and efficient identity confirmation.

Biometric Verification

Biometric identification is the process of identifying an individual by obtaining their biometrics, e.g. a photo or fingerprint. This is one of the stages of customer onboarding when a user signs up for your service.

Biometric authentication is the process of identifying a person as a current user based on their biometrics obtained during registration. At this stage, the customer uses their biometrics as one of the authentication factors in addition to a login, one-time password
Mitigate Biometric Fraud
Complete biometric verification

Facial recognition with Active Liveness Detection technology

Face matching 1:1 between portrait images from a document data page, embedded electronic chip, selfie, external database

Face identification 1:N of an image against a database of faces you utilize

Extended face attributes retrieval (age, emotions, hats, glasses, masks, etc.)
Stay ahead of ID verification fraud

This check is designed to detect documents that were forged using the same template, including Photoshop templates.

Verify document information using commercial and government databases in 50+ countries.

Validate data authenticity by cross-referencing governmental or commercial sources. This feature serves as an additional anti-fraud step, ensuring that documents are genuine.

Database Validation can also be employed when a higher level of assurance is required, such as financial transactions or sensitive access requests.

This supervised model, trained on historical verification data, aggregates all user info and raises red flags. Here’s what it assesses:

  • Face, template, personal data, IP, and fingerprint historical statistics
  • Document features: Resolution, EXIF metadata, file size
  • Behavioral features such as form completion speed
  • Device characteristics such as emulator checks

A unique technology developed by Sumsub that checks if a document photo is genuine. Here’s what it detects:

  • Screenshots and screen replays
  • Printouts
  • Physical forgery
  • Edited documents
  • Digitally-forged documents

This feature finds applicants that share meta-information, clusters them, and links them into networks. Here’s what it analyzes:

  • Shared selfies, documents, or PoA templates
  • IPs and device fingerprints
  • Geo-location and address
  • Personal information
  • Behavioral patterns, e.g. completion speed

Our Customers in Finance

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