Age Verification

Powerful Age Verification for Streamlined Onboarding
Age Verification
Ensure that only age-appropriate users can access the age-gated products, services and content. Comply with legal obligations and required age restrictions while reinforcing trust.

Age Verification

Age verification is the process of making sure that a person trying to access products or services is the appropriate age as dictated by laws or regulations. These restrictions may be for online services such as gambling, products such as alcohol or tobacco, or for social media providers who need an age verification system. There are several different ways for businesses to verify the ages of their customers, including identity document checks, record checks and recently, biometric estimations. Conducting age verification can help make sure a business remains in compliance with laws and regulations and avoids fines or other damage
Online Age Verification
An online age verification system can check the personal identifying information (PII) a user provides against various trusted data sources and records, and make sure they are of the appropriate age to access services or products online. It can also ask a user to take a picture of their photo ID document and then check the information from a document with a document verification check to make sure a user is the right age.

An age verification system should strike a balance between collecting the amount of information that’s necessary to prove a person’s age, but not beyond, and also being effective and secure.
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

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