Business
Articles
Jun 17, 2025
"We need an army of Elliots" - why it’s bonkers we’re not using facial age estimation to sell alcohol
Let’s just get this out there: humans are not great at guessing ages. Don’t just take our word for it. Studies have proven this to be the case. Most of us reckon we can largely say if someone is under 25 using the Challenge 25 technique but when put to the test, the truth comes out: retailers do let some under 18s buy alcohol. Not always and not everyone, but some people are incorrectly estimated to be older than they really are. Let’s be honest, this is not ideal. Now, to be fair, not all humans are created equal.
Articles
Jun 16, 2025
Why facial age estimation, the most accurate age checking tool, shouldn’t be left on the sidelines
Many of us have been there: standing at a self-checkout, scanning our shopping, only to hit a roadblock when the till flags an age-restricted item like a bottle of wine or a pack of beer. With age verification accounting for between 40 – 50% of interventions at self-checkouts, it significantly disrupts and slows down the checkout experience. We wait for a retail worker to approve the sale. The retail worker does a visual estimation of our age – they look at our face and guess whether we’re old enough to buy the item. Most retailers follow the Challenge 25
Articles
Jun 09, 2025
Why testing data is as important as training data for machine learning models
When developing machine learning systems for facial age estimation, the conversation often centres on the training data: how much you have, how diverse it is, how inclusive it is, and how well it represents your end users. Not to mention, where the data comes from. Intuitively, that focus makes sense. More data presumably leads to better models. But test data is just as important, and in some ways, even more critical for ensuring models perform effectively. Training data: more isn’t always better Common sense would suggest that for a machine learning model “the more data, the better.” And that’s
Articles
May 22, 2025
Protecting your business and customers from account takeover
In today’s digital world, we have dozens of online accounts. These range from online banking to social media, dating apps to gaming platforms. Though convenient, this opens the door to the rapidly growing threat of account takeover fraud. Account takeover fraud is surging, with global losses expected to hit $17 billion by the end of 2025. The number of account takeover attacks is rising sharply too, increasing by 24% year-over-year in 2024. This blog walks you through what account takeover is, how it happens and what you can do to prevent it. What is account takeover? At its
Articles
May 20, 2025
Effective ways to improve your AML compliance
Managing financial crime presents a complex challenge for financial institutions. Due to its covert nature, the full scope of money laundering is difficult to truly know. The United Nations Office on Drugs and Crime (UNODC) estimates that between 2-5% of global GDP (up to $2 trillion in US dollars) is laundered every year. As financial crime becomes more sophisticated and regulations grow tighter, businesses must prioritise robust anti money laundering (AML) measures. Industries like banking, fintech and financial services need strong AML processes to protect themselves from fraud, penalties and legal risks. We explore how your business can strengthen
White papers
Apr 30, 2025
Building trust through age assurance
Governments around the world are increasingly prioritising online safety and age regulations, with new laws emerging across multiple countries. This report explores the growing demand for privacy-preserving age assurance and how businesses are adapting to meet regulatory requirements. Using proprietary data, our latest report explores: The growing demand for privacy-preserving age assurance How businesses are adapting to meet regulatory requirements Key trends in age assurance How Yoti’s solutions are protecting young people, safeguarding privacy, and helping businesses implement robust, trusted and effective age checks Read the report