Business
Articles
Aug 07, 2024
Introducing integrations: making it easier for you to use Yoti
Today, we’re launching our integrations, helping businesses streamline identity and age verification processes and embed them within their existing software. So far, we have over 70 integrations. That’s more than any other identity company. Yoti integrates into over 70 of the biggest SAAS products From video conferencing platforms, HR platforms, customer relationship management (CRM) tools and financing and accounting software, you can benefit from our verification solutions without the expensive integration costs. We’ll build, monitor and manage the integrated systems you choose – there’s no need to allocate the time and resources of your team. Streamlining verification processes within
Articles
Jul 12, 2024
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 scammers 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 biometric frauds 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
Articles
Jun 20, 2024
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
Articles
Apr 11, 2024
Yoti assessed in the NIST Face Analysis Technology Evaluation program
An increasing amount of legislation is being introduced globally demanding that organisations effectively check the age of their users. It’s important that these age checks are inclusive; people should have a choice in how they prove their age. Regulators are recognising that not everyone will feel comfortable or be able to use a method based on identity documents. Facial age estimation gives people a way to prove their age without sharing their name, date of birth and other personal information from identity documents. It can improve online safety and help companies to comply with legislation, without having to process or
Articles
Mar 28, 2024
Yoti Identity Fraud Report
We’re pleased to publish the first edition of our identity fraud report, which explores the fraud trends we’ve seen over the past 24 months. We delve into the tactics fraudsters are using and how these are evolving. We also explain why using technology and a team of verification experts together provides the best defence against fraud. Key takeaways from the report: It’s challenging to understand the exact figures and the true scale of fraud; businesses can only report on the fraud they know about Fraud is evolving; fraudsters are exploiting different tactics including deepfakes and tampered with documents The
White papers
Mar 01, 2024
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
