Identity verification: the facts

profile picture Amba Karsondas 2 min read
An image showing a preview of three pages of the "identity verification: the facts" report

It’s becoming increasingly essential to check that users are who they say they are. The rise in cyber attacks, data breaches and online financial crime has pushed companies across multiple industries to adopt more reliable and advanced verification methods.

As a result, identity verification has become a crucial part of securing online transactions and interactions. It helps reduce identity theft, protect sensitive data and allows businesses to comply with regulations. 

We believe people and businesses should make up their own minds about whether they’d like to use our identity verification technology – based on the facts.

Keep reading

Thoughts from our CEO - Feb

Thoughts from our CEO

In this blog series, our CEO Robin Tombs will be sharing his experience, whilst focusing on major themes, news and issues in the world of identity verification and age assurance. This month, Robin chats about independent testing for accurate facial age estimation, using digital IDs for age-restricted purchases in store and the UK government’s digital ID wallet.   Independent testing shows who truly meets the bar In February 2024, Ofcom published guidance that, for an age assurance process to be highly effective at age-gating children in practice, service providers should ensure the process meets 4 criteria: technically accurate, robust,

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An image of a person holding their phone up and performing a facial age estimation.

Yoti facial age estimation - newest model evaluation by NIST

We are delighted to share our latest evaluation by the National Institute of Standards and Technology (NIST) for our newest facial age estimation model. We have seen notable performance improvements across a number of metrics.  NIST’s evaluation is extremely thorough – they have over 20 million images for evaluation – and NIST develops their testing methodology over time. This helps to highlight models that are robust across multiple datasets and scenarios.  Our strategy for developing our model is not “data dependent”. Machine learning models can benefit greatly from quantity of data at the initial stage, but once reaching maturity,

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Thoughts from our CEO Jan 26

Thoughts from our CEO: Yoti sees major improvements in liveness and age estimation models

In this blog series, our CEO Robin Tombs will be sharing his experience, whilst focusing on major themes, news and issues in the world of identity verification and age assurance. This month, Robin chats about Yoti’s record year, major advances in our liveness and facial age estimation models and shifting government attitudes on digital ID.   Yoti’s revenue growth accelerates 2025 has been a record year for Yoti. Revenues grew 62% in 2025 to £29.0 million, up from £17.9 million in 2024. That compares with £11.5 million in 2023, meaning 2024 revenues were already 56% higher year on

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