Verify Users at Application
ID OCR and face matching confirm identity, while liveness detection blocks deepfake or synthetic users.
Fraudsters combine real and fake data to create identities that pass basic checks but default later.
Decision models often lack strong identity validation inputs, increasing uncertainty.
Fake IDs and altered documents reduce the reliability of traditional verification.
Digital-only onboarding increases exposure to spoofing and identity manipulation.
Users create multiple identities to bypass platform limits and increase exposure.



















