Age Verification Software: Buyer's Guide
Blog post from Didit
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Age verification software is designed to determine if users meet specific age thresholds using various forms of evidence, such as identity documents, facial age estimates, authoritative accounts, or reusable proofs. This process, known as age assurance, ranges from self-declaration to authoritative verification, and it should focus on answering the minimal question necessary for compliance, such as confirming if a user is over a particular age without collecting full identity data. The software's effectiveness depends on the accuracy, bias, privacy, and cost of the method used, which must align with regulatory requirements in regions like the UK, EU, and US. Different methods provide varying levels of reliability and evidence, with document-based verification collecting more data than facial estimation, which offers probabilistic results. Buyers must evaluate these solutions against factors like error rates, demographic fairness, data privacy, and integration needs, ensuring that decisions are accurate, reliable, and non-discriminatory while protecting sensitive data. The choice of method should match the risk level associated with the content being accessed, with higher-risk scenarios potentially requiring more robust verification methods, and services must maintain control over policy and user rights.
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