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The State of Age Verification: Technology, Legislation, and What's Next

Date Aired: November 19, 2025

What You’ll Learn

Age verification technology is becoming an application architecture problem, not a checkbox at registration. This webinar explains how verification, estimation, and inference differ, how teams can combine them into a proportional assurance flow, and why privacy, certification, jurisdiction, and liability matter as much as raw accuracy.

Key Takeaways:

  • Age verification, age estimation, and age inference provide different levels of assurance. Verification checks an authoritative date of birth. Estimation uses biometric or behavioral signals to calculate a likely age. Inference relies on existing evidence such as account history, email activity, phone usage, or platform behavior. The right method depends on the data available and the consequence of getting the decision wrong.
  • A well-designed flow starts with the least intrusive evidence and escalates only when needed. Existing account data may establish sufficient confidence without forcing the user to find a passport or submit a selfie. More sensitive methods belong later in the sequence, after lower-friction options fail to produce a reliable result.
  • Accuracy requirements should be proportional to risk. Preventing access to adult content does not require the same confidence level as authorizing the purchase of weapons or other high-risk goods. Teams need to define an acceptable error rate for each use case rather than applying the most invasive check to every user.
  • Most applications need proof of an age threshold, not a complete identity record. Privacy-preserving systems can return a simple result such as “over 18” without exposing a name, date of birth, passport number, or biometric record. Zero-knowledge proofs and tokenized credentials make that separation technically enforceable rather than merely promised in a privacy policy.
  • Reusable age tokens can reduce repeated checks across participating services, but they introduce their own design decisions. Token lifetime, reauthentication, revocation, issuer trust, and shared devices all matter. Labeling a phone as an “adult device” is not enough because devices move between parents, children, and other family members.
  • Certification should be the starting point for vendor evaluation. Independent assessment can cover security, privacy, data protection, operational processes, and accuracy before teams compare price or integration effort. The review must also include appeals, support tooling, manual verification, and exception handling, because sensitive data often leaks through the workflow bolted on beside the secure system.
  • A valid credential does not automatically create a valid liability chain. Wallet providers, banks, governments, parents, and verification vendors may contribute to an age claim without accepting responsibility when it is wrong. Relying parties need to understand who verified the evidence, who issued the credential, what contracts exist, and who absorbs the regulatory loss.
  • Global compliance requires explicit jurisdiction choices. Age thresholds, accepted methods, token lifetimes, privacy rules, and enforcement models vary across countries and US states. A realistic rollout may support selected markets first, apply different assurance levels by region, or block access where the company cannot yet meet the local requirements.
  • Circumvention controls fail when platforms deliberately weaken them. In the examples discussed, avatars and fake documents passed because authenticity and liveness checks had been disabled. VPNs also conceal less than many teams assume. Timezone, currency, browser language, account history, device signals, and geolocation can still trigger additional scrutiny.
  • Regulators may achieve more by targeting the services that keep a noncompliant platform running. Domain blocking is easy to evade, and overseas fines can be difficult to enforce. Payment processors, hosting providers, search services, and other commercial dependencies create stronger leverage because a site without revenue or infrastructure is merely an expensive collection of files.
View Transcript

Who Should Watch This Webinar?

  • Security architects
  • Identity architects
  • Application developers
  • Platform engineers
  • Privacy leaders
  • Compliance teams
  • Product leaders
  • CISOs
  • CTOs

Topics Discussed:

  • Age verification technology
  • Age verification, estimation, and inference
  • Risk-based assurance levels
  • Waterfall verification flows
  • Facial age estimation
  • Behavioral age inference
  • Privacy-preserving age proofs
  • Zero-knowledge proofs
  • Tokenized age credentials
  • Device sharing and reauthentication
  • ISO/IEC 27566
  • IEEE age-assurance standards
  • Independent certification
  • Vendor due diligence
  • Appeals and manual review
  • Credential liability chains
  • Jurisdiction-specific compliance
  • VPN and geolocation controls
  • Deepfake and liveness detection
  • Regulatory enforcement mechanisms

Speakers:

Iain Corby Photo
Iain Corby
Executive Director, AVPA
Iain Corby is one of the world's foremost experts on age verification and digital identity standards. He's led the Age Verification Providers Association as Executive Director, serves as Secretary General of euCONSENT, and sits on the UK government's Expert Panel on Age Verification. He's the lead author of the IEEE International Standard for Age Assurance and has authored formal submissions to the US House Energy and Commerce Committee on protecting children online. His background spans consulting at Deloitte, charity leadership, and political policy work in the UK. Educated at Oxford and holder of an MBA from UCLA, Iain brings the full technical, regulatory, and political perspective to one of the most consequential conversations in digital policy today.
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