Identity Verification
The identity-operations workflow your product supports when a customer reviews a suspicious onboarding submission.
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IDENTITY VERIFICATION PROVIDERS
Deepfake detection inside your identity verification platform.
RealAPI returns structured AI-manipulation findings for submitted selfies and recordings. Your platform incorporates the result into its reviewer interface and customer offering, alongside existing identity checks, referral policies and application controls.
One more input to the referral decision
A genuine document and a matching face do not answer every question about a submitted selfie. A manipulation assessment adds evidence for referrals under your existing identity controls.
Sources: Entrust, 2026 report: observed network, not all identity checks.
1 in 5
biometric fraud attempts involved deepfakes in Entrust’s observed data.
58%
increase in deepfaked selfies in Entrust’s observed data.
40%
year-over-year rise in injection attacks in Entrust’s observed data.
Additional media evidence inside your verification product
Media coverage
Your verification product can weigh suspected AI manipulation alongside document, face and capture evidence.
Integration effort
Your application can present structured responses in the reviewer’s existing interface.
Referral control
Your platform determines which submissions need further verification and when an applicant can progress.
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PRODUCTS
RealAPI for submitted media
See a structured media result inside your application.
Discuss your setup\
USE CASES
Related use cases
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CUSTOMER STORY
Image analysis inside an identity product
The IDmission example follows a generated selfie through RealAPI analysis alongside existing onboarding controls. The application was stopped before an account opened.
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RESEARCH + INSIGHTS
Research and practical guidance
Your own submissions. Your reviewer experience.
Your product team’s submission types, referral policy and reviewer needs set the scope for the integration discussion.