Leading ID verification companies use a layered approach to fraud detection that combines AI, machine learning, biometric technology, and database checks:
Document authenticity checks: AI algorithms scan the document for visual inconsistencies such as mismatched fonts, missing security features, altered photos, or inconsistent data fields.
Biometric face matching: the photo on the document is compared to a live selfie using biometric ID verification, making it extremely difficult to use someone else's identity.
Liveness detection: active and passive liveness checks confirm the selfie was taken in real time, preventing fraud using printed photos, pre-recorded videos, or AI-generated faces.
Deepfake detection: Binderr's ID verification service is specifically trained to detect AI-generated synthetic faces and injection attacks that attempt to bypass the camera feed.
Database cross-referencing: extracted data is validated against authoritative records to confirm the document is genuine and the identity is legitimate.