Business
Articles
Aug 14, 2025
Beyond passwords: exploring modern authentication methods for secure login
As online threats grow more sophisticated, the way we authenticate users needs to evolve. This blog explores the modern authentication methods which can support or replace passwords, such as biometrics and verified digital IDs, and how businesses can use them to protect accounts, reduce fraud and build trust with users. What is authentication? Authentication is the process of verifying that someone is who they say they are, typically before granting them access to a service or system. Traditionally, this has involved entering a username and password, something only the user should know. Are passwords enough to keep
Articles
Jul 31, 2025
Under the hood of facial age estimation
Since the UK Online Safety Act came into force on Friday 25th July, there has been a lot of discussion about how effective age checks are. Facial age estimation has been approved by Ofcom as a high assurance method for online age checks. It’s a quick, private and effective way to confirm if someone is above or below an age threshold. Each facial age estimation is quick and simple – taking around one second. This has sparked conversation when talking to businesses, press, regulators and governments – one of the most striking comments we’ve heard when showing them the
Articles
Jul 25, 2025
Yoti supports platforms as UK’s Online Safety Act comes into force
Today marks a major moment for the internet in the UK: the country’s new Online Safety Act officially comes into force, bringing in a new chapter of accountability for digital platforms and service providers. From social media and gaming, to porn and dating, we’re pleased to be supporting platforms with highly effective, robust and privacy-preserving age assurance solutions. The legislation requires platforms to protect children from harmful or inappropriate content, prevent underage access, and build safer digital environments. Yoti’s age assurance technology is helping platforms to meet these new standards whilst protecting user privacy and anonymity. We’ve also been
White papers
Jul 21, 2025
Facial Age Estimation white paper
Making it faster and safer to prove your age Our age estimation technology accurately estimates a person’s age by looking at their face. We built it to give everyone a secure and private way of proving how old they are in different everyday scenarios: from age checking on social platforms and online stores, to supermarket self-checkouts, bars and clubs. This privacy-friendly approach to age verification doesn’t require any personal details or documents, and all information is instantly deleted once someone receives their estimated age – nothing is ever viewed by a human. Key takeaways
Articles
Jul 03, 2025
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
Articles
Jul 02, 2025
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