GenAI & Attack Prevention

Stop bad actors before they spoof your system by focusing on early detection of presentation and injection attacks.

Protect your business from the growing threat of GenAI

Yoti’s strategy for detecting the threat of generative AI centres on preventing deepfake images or videos from being uploaded at the point of verification.

Trusted by governments and businesses
Meta
Meta
Meta
Avakin life
Avakin life
Avakin life
First advantage
First advantage
First advantage
Jigsaw dating
Jigsaw dating
Jigsaw dating
Woman using liveness technology during a face scan

Prevent presentation attacks with liveness technology

Clients can choose to use either active or passive liveness detection depending on their specific requirements and the configuration of their verification process​​. Yoti’s proprietary passive liveness technology, MyFace® Live, ensures it’s a real person being verified with just a selfie. The technology is compliant with iBeta ISO PAD Level 2 and achieved a 100% attack detection rate during testing by NIST.

Combat injection attacks with our patented AI technology

Injection attacks are an emerging threat that enable bad actors to inject fake images into an identity verification process. Our patented solution, MyFace® SICAP, adds layers of security that makes injection attacks extremely difficult for imposters. It detects both software and hardware attacks via mobile and desktop devices. It is a new way of adding security at the point an image is being taken for a liveness or facematch check.

A woman performing a face scan using Yoti's Secure Image Capture (SICAP) technology, to protect against injection attacks

Authenticate profiles, users and strong customer authentication

yoti accordion image

AI generated explicit images

Yoti MyFace® Match can match the person uploading the content with any images or videos marked as being explicit, determining if it’s the same person in the image. This also prevents images generated by AI being uploaded and minors being potentially exposed to inappropriate imagery.

A woman performer being identified as unmatched to the account owner, where the platform is then able to take action on the content

Banned or high profile watchlists

The profiles of banned users, celebrities and public figures can be added to a ‘watch list’, and any content uploaded which features their image can be immediately flagged as requiring a further check.

Illustration of the detection of a previously banned account

Account takeover

Yoti MyFace® Match can be used at the point of account setup and used to check if a user is who they say they are when required. Pair with our anti-spoofing tools of liveness and SICAP to detect injection or presentation attacks.

Screen prompting male user to confirm their account using biometric authentication

Peer 2 Peer checks

For marketplace transactions or high value account withdrawals, a user can request a ‘peer 2 peer’ share from the other party via Digital ID, confirming their name and email address.

an illustration of a peer to peer check: a woman, Vanessa Chapman, selecting and then sharing her details with a man

Join the online safety movement

We’re committed to developing privacy-preserving technology that can help keep people safe online. We collaborate with regulators, industry experts and thought leaders and are helping to shape upcoming international standards for age assurance.

  • ISO 9001

    Certified for quality management standards.

  • ISO 27701 & ISO 27001

    Certified for privacy information management standards.

  • SOC 2 Type 2

    Certified for technical and organisational security process.

  • FSM

    Approved by German Association for Voluntary Self-Regulation of Digital Media.

  • AVPA

    Member of the association maintaining high standards in age verification.

  • ACCS

    Approved by the internationally recognised standards of the ACCS.

  • KJM

    Solutions approved by the German regulator for the protection of minors on online media.

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