Yoti MyFace liveness white paper

profile picture Matt Prendergast 2 min read
Yoti MyFace Livness White Paper document preview

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 passive liveness.
  • Age, gender and skin tone bias minimised.

Related stories

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

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