Yoti blog

Stories and insights from the world of digital identity

Filter By:
image of a woman looking at her phone

DSIT report on public views of digital identities

Last year, the Department for Science, Innovation and Technology (DSIT) commissioned a public dialogue to seek views from the public on digital identities. They wanted to explore the benefits and concerns associated with digital identity services.  We take a look at some of the key findings and themes from the public dialogue, and what this means for the future of digital identities in the UK.   UK digital identity and attributes trust framework Digital identities give us a way to prove who we are, without needing to use physical documents. They can offer us greater privacy, security and convenience over

8 min read

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.   Digital age verification for alcohol I’m pleased to see the UK Home Office consult on whether age verification technology should be allowed for the sale of alcohol. This is a big step forward and demonstrates the growing importance and demand for digital proof of age. Yoti’s technology can help remove the significant challenges and high levels of abuse faced by retail, bar and security staff when assessing the

4 min read

Yoti MyFace Match development and improvement

Yoti MyFace Match is what’s known as a 1:1 and 1:N face matching solution. The technology compares a single image with another image or set of images in real time to determine if it is the same person. Yoti licences this facial recognition technology to businesses wanting to be sure that, for example, the right person is accessing their online accounts. MyFace Match is also useful to businesses because they invite users to opt-in  to be ‘verified’ and then be required to provide consent whenever their image or content is published. In the case of live streaming, businesses can monitor

4 min read

Yoti releases white paper detailing approach to combating generative AI and deepfakes

1st March 2024, London, UK – Digital identity company Yoti has published its first Generative AI white paper, detailing its approach to combating deepfakes. Yoti has focussed their strategy on early detection, using tools to prevent AI-generated content or attacks at the point of source.  Whilst offering numerous benefits and advancements, generative AI also brings potential threats and challenges, including:  Identity theft and fraud; the technology could be used to create synthetic identities and realistic forged documents Fake content; the creation of highly convincing content, including images, videos and audio recordings. Privacy concerns; the ability to generate realistic images and

3 min read

Combatting deepfakes online

It’s concerning to see how innovative artificial intelligence (AI) is being used to create deepfakes that are spreading disingenuous information and explicit images online. Deepfakes are realistic videos or images created by generative AI. Fraudsters can now use advanced algorithms to manipulate visual and audio elements that mimic real people. This fake content shows people doing or saying things they never did. Two prominent individuals have recently been targets of deepfake scams. A video featuring Taylor Swift generated by artificial intelligence was used to promote a fraudulent cookware competition, and explicit AI-generated images of her were widely circulated online. Additionally,

6 min read

On the threat of detecting deepfakes

Learn how Yoti can help you defeat deepfakes As the threat of generative AI in identity and content integrity continues to build, Yoti has developed a comprehensive strategy focused on early detection by using tools to prevent AI-generated content or attacks at the point of source. Yoti’s strategy for detecting generative AI threats targets two attack vectors: presentation attacks (direct) and injection attacks (indirect), with a focus on early detection during the verification or authentication process.  Our proprietary and patented technology can work on: Deepfakes Illicit images Account takeovers Identity theft and fraud Content moderation Injection attacks Bot attacks

2 min read

Browse by category

Signup for our newsletter