White papers
Mar 02, 2023
Yoti MyFace liveness white paper
Learn how Yoti’s liveness solution can help you defeat spoof attacks Liveness is an essential part of any verification or authentication process. It gives you reassurance that you are dealing with a real human. Read our latest white paper on liveness to learn how Yoti’s MyFace liveness solution can help defeat presentation attacks including: Paper image Mask Screen image Video imagery Deep fake video Injection attacks Bot attacks Key takeaways from the report Yoti’s MyFace solution is NIST Level 2 approved with 100% attack detection. Why liveness is important for verification and authentication. The difference between active and
Press releases
Feb 21, 2023
Yoti featured on Liminal’s list of Companies to Watch in 2023
Today, Yoti has featured on Liminal’s list of Companies to Watch in 2023. Each year Liminal, a strategy advisory firm serving the digital identity, cybersecurity and fintech markets, recognises ten standout companies with the potential to make significant impact in the coming year. Liminal’s research team, led by Travis Jarae, independently chooses all the companies on the list based on how well their products fit the market, their company momentum, and the current state of the ecosystem. Liminal has been tracking emerging trends, technologies, and business leaders in the rapidly evolving ecosystem of digital identity, cybersecurity, and fintech solution providers
Articles
Feb 16, 2023
How Yoti can help combat digital injection attacks
As use of online verification grows, there inevitably follows increasing temptation for bad actors to develop ways to exploit the process. As a provider of verification services we must show businesses, regulators and governments that we have robust anti-spoofing technology, checks and processes. An emerging but rapidly growing threat for verification services are digital injection attacks. What are injection attacks? Injection attacks are a form of attack on remote verification services. Direct attacks are the most common attempt to spoof systems. Examples of direct attacks are: Paper image 2D and 3D masks Screen image Video imagery Direct attacks are
Articles
Feb 02, 2023
NIST approval explained
Many companies in the identity space talk of NIST certification. What does this mean for you as a user of identity services and what does it mean for your customers? Who is NIST? NIST is the National Institute of Standards and Technology (NIST), a non-regulatory agency of the United States Department of Commerce. NIST’s remit is to create and certify measures, standards and technology to enhance trade and productivity. Formed in 1901, their remit is to provide standards and certification for businesses. At first this included clocks and thermometers, all kinds of ‘weights and measures’. But over time
Articles
Jan 17, 2023
On Facial Age Estimation, improvements and updates
We continue to invest in improving the accuracy of our world-leading facial age estimation and we will soon be releasing a new ‘Jan 2023’ model with improved accuracy across all skin tones and gender for those aged 6-70. At Yoti we constantly strive to improve all our services given our commitment to tech for good, and given the growing market importance of these services and increasing regulatory engagement. For example, coming soon we’ll be introducing multiple, concurrent age estimation models, which will help improve accuracy even further, whilst still completing a check within seconds. We will also continue to update
Articles
Jan 01, 2023
Yoti digital age verification trialled at supermarkets
Last year, UK supermarkets – including Asda, Morrisons and The Co-op – trialled our digital age verification at self-checkouts in a scheme run by the Home Office. During the trial, shoppers in participating stores could try two new ways to prove their age: Facial age estimation technology: shoppers purchasing alcohol looked at a camera on the self checkout and age estimation technology estimated their age. A privacy-preserving solution, it didn’t require any personal details or ID documents, and all images were instantly deleted once someone received their estimated age. If the system detected they looked younger than the set