Verifying age with email address age estimation

profile picture Sofi Summers 5 min read
Illustration of email based age estimation to determine if user is over 18

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How accurate can facial age estimation get?

Facial age estimation using machine learning has advanced significantly in recent years. But, a common and fair question still arises: How accurate can it really be? Can a system look at your face and accurately guess your age, especially when humans often get it wrong? The short answer is that it’s very accurate – but not perfect. We explain why.   The myth of 100% accuracy It’s important to set realistic expectations. No facial age estimation model can achieve 100% accuracy across all ages.  Human aging is highly individual and shaped by many external factors, especially as we get

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Synthetic identity fraud is committed by the theft of a real piece of persoanl information such as an SSN, and combined with false information to make up an entirely synthetic identity that often bypasses traditional checks

What is synthetic identity fraud? How it works and how to prevent it

What is synthetic identity fraud? Synthetic identities are fake identities, built by combining real and made-up information, earning them the nickname “Frankenstein IDs” due to their pieced-together nature. Synthetic identity fraud is different to traditional identity fraud as it doesn’t involve an obvious, immediate consumer victim. These fake profiles are designed to mimic real customers, often slipping past traditional fraud detection systems because they don’t raise typical red flags. As a result, the primary victims of synthetic identity fraud are businesses and lenders, who bear the financial losses.   How synthetic identities are created and used

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Woman presenting a 2d image trying to perform a presentation attack

Why early detection is critical in stopping deepfake attacks

Digital identity and age verification are becoming integral parts of customer onboarding and access management, allowing customers to get up and running on your platform fast. However as customer verification tools become more advanced, so too are fraudsters seeking to spoof systems by impersonating someone, appearing older than they really are or passing as a real person when they’re not. Deepfake attacks, which can mimic a person’s face, voice or mannerisms, pose a serious threat to any business using biometric customer verification. In this blog, we explore why detecting deepfakes early is essential for maintaining trust, security and regulatory

6 min read