ID Tech

Deepfake Detection

Methods that detect synthetic or manipulated media (audio, images, video) used to impersonate people in identity verification and biometric systems.

Overview

Deepfake detection aims to identify AI-generated or heavily manipulated media intended to defeat identity verification (e.g., selfie checks) or to enable fraud via impersonation.

How it’s used in identity systems

  • As a signal alongside PAD/liveness, device checks, and document verification.
  • To flag suspicious submissions for step-up or manual review.
  • To harden enrollment and re-verification, where synthetic media can create or take over accounts.
  • To protect consumer platforms from fake profiles, account farms, and impersonation.
  • To reduce onboarding risk in payments, crypto, and other regulated financial services.

Common challenges

  • Rapidly evolving generation methods and attack techniques.
  • Domain shifts (lighting, cameras, compression) that can affect detector performance.
  • Distinguishing synthetic-media detection from biometric liveness. In practice, the two are often combined, but they are not identical controls.

References

Vendors using Deepfake Detection

InnovatricsMitek SystemsParavisionSumsub

Latest Data Cards

  • Data Card

    Match Group Face Check recognition highlights FaceTec liveness in dating safety

    2026-06-23CC-BY-4.0facial-recognitionpaddeepfake-detectionfacetec

    Match Group's Face Check was named a 2026 Fast Company World Changing Idea, highlighting 3D face liveness as a trust-and-safety control for dating platforms.

    • Face Check asks users to complete a short video selfie to confirm liveness and match profile photos.
    • The underlying 3D liveness technology is supplied by FaceTec.
    • Match Group says the safety feature is associated with reduced exposure to bad actors when combined with other platform measures.
    Open card
  • Data Card

    Sumsub and iMind strengthen compliance infrastructure for South Korean payments

    2026-06-02CC-BY-4.0digital-idpaddeepfake-detectionsumsub

    Sumsub partnered with iMind to support AML, fraud prevention, automated identity verification, and liveness checks for South Korea's payments sector.

    • The collaboration targets fintech platforms and cloud banking providers in South Korea.
    • The integration brings automated identity verification and liveness detection into payment compliance workflows.
    • The partnership responds to fraud pressure including AI-driven deepfake attacks and evolving national compliance requirements.
    Open card
  • Data Card

    iProov launches Verified Meetings for video call identity checks

    2026-05-19CC-BY-4.0facial-recognitionpaddeepfake-detectioniproov

    iProov launched Verified Meetings, a workforce-focused product that checks participant identity and authenticity before and during video calls.

    • The product analyzes video imagery for deepfakes and presentation attacks while also checking hardware integrity.
    • Results are shown to the host as red, amber, or green verification status.
    • Use cases include hiring, onboarding, account recovery, financial approvals, and other remote business interactions.
    Open card
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