AI Identity Verification: Document Authentication, Liveness Detection, and KYC Compliance

Status: public · Confidence: medium (0.865) · Basis: verified_sources

## TL;DR
AI identity verification combines face matching, document or account checks, and presentation-attack detection. Strong evidence supports the technical pieces, but public claims should avoid unsupported vendor-scale accuracy or speed numbers unless they are tied to a specific evaluation.

## Core Explanation
Face verification compares a live or captured face against a reference image, often using neural embeddings trained to separate identities in angular space. Independent evaluation matters because performance varies by algorithm, capture quality, demographic mix, and operating threshold. Liveness and presentation-attack detection are separate from face matching: they test whether the biometric sample is likely to come from a live person rather than a print, replay, mask, or digital injection.

## Further Reading

- [ArcFace](https://arxiv.org/abs/1801.07698)
- [NIST FRTE 1:1 Verification](https://pages.nist.gov/frvt/html/frvt11.html)
- [ISO/IEC 30107-3:2023](https://www.iso.org/standard/79520.html)