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Understanding the Digital Information and Smart Data Bill

This blog was updated in July 2024, following the General Election and the King’s Speech which announced the new Digital Information and Smart Data Bill (DISD). The government has committed to introducing the Bill, which aims to harness the power of data for economic growth, including setting up a regulatory framework for digital identities in the UK.  We will update this blog once the government has shared further information about this new Bill. Below is a summary of what we know so far.  For now, we have also included the previous blog content on the former Data Protection and

9 min read
A woman holding her mobile devise to her face to scan her biometrics.

How facial biometric verification protects your customers from identity fraud

Back in the day, identity theft mostly involved fraudsters stealing personal information, such as credit card details, to commit fraud or impersonate others in person. It was a pretty straightforward game of cat and mouse between fraudsters and a business, typically carried out face-to-face. As the world has become more digitised, identity fraud has evolved to meet this digital world. One powerful solution in our arsenal against identity fraud is biometric verification. Let’s dive into what it is, how it works, and why it’s crucial for keeping your customers and online community safe.   What is identity fraud? Identity

7 min read
A woman smiling whilst sitting down and using a laptop.

Understanding Australia's Digital ID Acts

Australia’s Digital ID Acts mark a significant milestone for Digital ID use across the world. Having just received Royal Assent, the Acts aim to provide people with a secure, convenient way to prove their identity online. Here’s some of the key information you need to know.   What are Australia’s new Digital ID Acts? Australia’s Digital ID Acts are made up of two different (but similarly named) pieces of legislation. These are the Digital ID Act 2024 and the Digital ID (Transitional and Consequential Provisions) Act 2024. Together, they are known simply as “the Digital ID Acts”.   Why

7 min read
An image of Robin with accompanying text that reads "Thoughts from our CEO, Robin Tombs, June 2024".

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. There’s been a lot about facial age estimation this month, with Robin talking about its use by Meta in Australia as well as our facial age estimation demo site. He also chats about Yoti’s NIST assessment and how Digital IDs can be used to combat fraud.   Meta introduces facial age estimation in Australia We’re delighted Meta is rolling out Yoti’s facial age estimation on Facebook, starting in Australia.

6 min read
An image of Dr. Sindhu Joseph, who is smiling at the camera. The accompanying text says "Meet the Guardians: Dr. Sindhu Joseph".

Meet the Guardians: Dr. Sindhu Joseph

At Yoti, our Guardian Council helps us to navigate the complex world of identity. They are an independent board of advisors who act as a moral sounding board for the company. We’ve had a chat with our newest Guardian, Dr. Sindhu Joseph, to find out more about why she chose to be part of Yoti’s Guardian Council.   1) Why did you decide to join Yoti’s Guardian Council? When Yoti reached out to me to join the Guardian Council, I was fascinated by the company’s vision and what Yoti is trying to achieve, particularly from a company-building perspective. Today,

5 min read
Yoti's Facial Age Estimation results versus the NIST Age Estimation evaluation report

Why do Yoti facial age estimation results published by NIST differ to those reported by Yoti in its white papers

In September 2023, we submitted our facial age estimation model to the US National Institute of Standards and Technology (NIST), as part of a public testing process. This is the first time since 2014 that NIST has evaluated facial age estimation algorithms. NIST age estimation reports are likely to become a globally trusted performance guide for vendor models. NIST assessed vendor Facial Age Estimation models using 4 data test sets at certain image sizes: NIST provides some example images: NIST note in their report that age estimation accuracy “will depend on

4 min read