Best age verification software: 8 leading providers compared

 

GBG

Because we’ve written this article, we’ll introduce ourselves first: we’re a global identity technology company with more than 30 years of experience in the identity verification space.  

With our end-to-end identity orchestration platform, GBG Go, you can verify genuine customers in 195+ countries with more than 80 KYC modules – including age verification – delivered through a single API. We also enable retailers to implement fast, low-friction age checks at checkout to prevent the shipping of age-restricted products to minors.

Here’s why companies like GGPoker, Vinoshipper and Betway choose to work with us:

Strengthen age verification with reliable document authentication and biometric checks that help protect against AI fraud

If you rely solely on basic data matching, you're leaving a back door open for bad actors. After all, reliable age verification depends on more than just confirming a date of birth exists in a database. 

To accurately confirm a user’s age while blocking increasingly sophisticated synthetic threats, your onboarding flow needs to combine forensic document authentication with deep biometric analysis – both of which work quickly and reliably.

 

Document and biometric verification work in tandem to confirm that the person presenting the ID is its rightful owner. Our face-matching technology compares the ID photo to a customer-captured selfie, analyzing up to 68 biometric facial landmarks. This ensures high-precision matching to minimize bias across gender, age and ethnicity.

But matching the face is only half the battle. You also need to know that the person is physically present and not an AI-generated mask. Our advanced biometric security measures include:

• Certified passive liveness testing: Our technology confirms a real person is physically present during verification. By meeting the highest ISO/IEC standards, we help you block spoofing attempts that use high-resolution images or videos.
• Deepfake injection attack detection: This adds another layer of defense by identifying attempts to bypass the camera entirely. We detect AI-generated face swaps and injected video feeds that other systems might miss.
• Forensic tamper detection: Our forensic tests check IDs for photo and text substitution, ensuring that the document itself is authentic and unaltered.

 

What’s more, you can also implement our Multi-Source verification solution for more accurate data checks: rather than relying on a single dataset, verification workflows can intelligently progress through additional trusted sources if initial checks don’t provide enough confidence to verify a user’s age.

Verify age right at the start of a dynamic onboarding journey to decrease drop-offs

If you force every customer through the same set of document scans and biometric tests, you'll inevitably frustrate your lowest-risk users. Every unnecessary step in a genuine customer’s journey increases the likelihood that they’ll simply move to a competitor with faster onboarding or checkouts.

With our GBG Go platform, you can trade these static flows for dynamic workflows that adapt in real time to every individual. By tailoring the journey based on factors like the user's jurisdiction, fraud risk score, and required age assurance level, you ensure that friction is only applied where it's truly needed.

 

You can optimize your conversion rates by:

• Placing age checks at first contact: You can verify a user's age at the absolute beginning of the journey to determine eligibility instantly. Eligible users enjoy a fast-tracked path with minimal disruption, while underage individuals are blocked before any further resources are spent.
• Applying smart step-up triggers: If initial identity signals are weak or our risk engines flag suspicious patterns, such as a mismatched location or high-velocity data submissions, the system automatically triggers step-up authentication. This sends only higher-risk cases for document verification or biometric checks.
• Using actionable insights to fine-tune flows: Our platform gives you total visibility into how your journeys are performing. You can analyze approval and rejection trends, pinpoint exactly where users are dropping off and run A/B tests to compare different verification routes. These insights help improve pass rates for genuine customers and help you allocate resources more efficiently.
• Using location intelligence to uplift success rates: By adding our address verification solution to the onboarding workflow, you can verify additional information to increase match rates, such as address validation, IP consistency, and geolocation accuracy. What’s more, our type-ahead search function speeds up the onboarding process on the customer’s end, decreasing manual effort and therefore drop-offs.

Layer identity and age verification with real-time risk signals to detect fraud earlier in the onboarding process

The truth is, age verification alone is no longer enough to stop modern onboarding fraud. 

Fraudsters increasingly use synthetic identities, spoofed locations, VPNs, compromised credentials and AI-generated identities to bypass age gates and gain access to restricted platforms and services.

For businesses operating in regulated or high-risk industries, verifying a customer’s age without assessing broader fraud risk can therefore leave significant gaps in onboarding security.

We designed our solution to address this challenge by combining age and identity verification with real-time fraud and risk intelligence. Document and biometric verification can be layered with additional signals from GBG Trust (our cross-industry intelligence network that monitors millions of transactions across 28 sectors) alongside device intelligence, behavioral analytics, mobile intelligence, email intelligence and address verification. 

Together, these signals help build a more complete and accurate customer risk profile during onboarding.

Check out our case files of true identity crimes stopped in real time by detecting suspicious identity data via GBG Trust.

 

By analyzing identity data alongside IP and location intelligence, you can detect suspicious anomalies earlier in the verification process. These can include: 

• Mismatched geographies
• High-risk IP addresses
• Unusually rapid onboarding attempts
• Suspicious account behavior
• Signs of coordinated fraud activity

How GBG helped GGPoker achieve a 30% uplift in successful age verifications 

NSUS Group, the company behind GGPoker, needed a scalable identity verification and fraud prevention solution to support rapid growth while meeting strict compliance requirements in the highly regulated online gaming industry. Like many gaming operators, the business needed to reduce customer acquisition friction without weakening controls designed to prevent underage registrations and fraudulent activity.

Before partnering with GBG, GGPoker identified several issues affecting onboarding performance, including:

• Poor-quality address data captured during registration
• Limited identity matching capabilities
• A narrow range of reference data sources available for verification 

By implementing our identity, age and address verification solutions, GGPoker was able to approve more genuine players more quickly while maintaining protections against underage sign-ups and fraud attempts.

As a result, GGPoker increased its age verification pass rate by 30%, improving successful checks from 50% to 80%.

Read the full case study: Increasing player pass rate by 30% and protecting minors

To learn more about GBG’s age verification solutions, book a call with our team.