FACE VERIFICATION

Stop Deepfakes With iBeta-Certified Face Verification

Confirm a real person is live and physically present in any flow, onboarding, login, recovery, or high-value actions, using active or passive liveness, facial matching, and 3D depth checks to block replays, spoofs, and AI deepfakes in real time.

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Proven Impact On
Face Verification

Our Numbers Speak Volumes

<0.01%

False Match
Rate

98.72%

Accuracy Across Millions
Of Verifications

10M+

1:N face record
search in seconds

Powering Compliance at Scale

Why Leading Enterprises Trust Shufti

Decision-Ready Face Verification

Face fraud is no longer photo vs selfie. Shufti confirms the user is live and physically present using iBeta Level 1 & 2 certified liveness plus 3D depth analysis, returning a clear verification decision built to withstand deepfakes and replay attempts.

Proof of Identity

Shufti is designed to catch modern spoofing vectors in real time, AI deepfakes, screen/video replays, printed photo spoofs, digital injection, and 3D masks, using layered signals like texture/material checks, light/shadow consistency, and depth/shape analysis.

Match You Can Trust

Shufti matches the selfie to the ID photo using facial landmark comparison (68 landmarks) and 3D face reconstruction to validate depth consistency and reduce 2D spoof risk.

Scale Controls for Repeat Fraud

Prevent multi-accounting and identity recycling with Duplicate Account Detection and optional 1:N face matching, searching across 10M+ records within seconds when historical data is available, so repeat fraud is blocked, not just first-time spoofing.

POWERING TRUST WITH iBETA-CERTIFIED FACE LIVENESS

End-to-End Face Verification Built to Defeat Spoofs

Smart Face Liveness

Passive Liveness

Runs silently to confirm a real human is present, analyzing texture, reflections, and depth cues without adding friction.

Active Liveness

Steps up assurance when risk is high with guided in-frame capture, harder to spoof with replays or scripted media.

3D Depth & Shape Analysis

Validates real facial geometry to stop flat attacks like printed photos and screen replays, even when the image looks “real.”

Deepfake, Replay & Injection Defense

Detects AI deepfakes, video/screen replay, and injected streams in real time using layered liveness signals.

Identity Matching & Risk Controls

Document–Selfie Matching

Binds the ID photo to the live user so you verify identity and presence in one flow.

68 Facial Landmark Analysis

Compares facial structure between ID and selfie with high precision, tolerant to real-world changes like facial hair and aging.

Duplicate & 1:N Face Matching

Detects repeat fraud and multi-accounting by matching one selfie against previously verified users, scales to 10M+ records when enabled.

Flexible Integration for Your Stack

Single API

Embed face verification anywhere, onboarding, step-up actions, and account recovery, with fast decision responses.

Web & Mobile SDKs

Secure capture on web, iOS, and Android with controls designed to reduce replay and injection-style bypass attempts.

Back Office & Decisions

Get clear pass/fail outcomes with reason signals so fraud and ops teams can act quickly with confidence.

Journey Builder & Webhooks

No-code orchestration to create dynamic workflows (e.g., "If Docless fails, trigger POA").

FROM SELFIE TO VERIFIED USER IN 4 STEPS

How Shufti Proves a Real Person Is Present

STEP 01

Capture A selfie

The user takes a selfie on web or mobile. Shufti guides framing and quality so the capture is usable the first time.

STEP 02

Prove Live Presence

Liveness runs instantly in the background. If risk is higher, Shufti steps up, confirming it’s a real person, not a replay.

STEP 03

Detect spoofs & deepfakes

Shufti detects AI deepfakes and spoof attempts like screen/video replays, printed photos, masks, and injected feeds using layered signals.

STEP 04

Match, Decide, & Scale

Shufti matches the selfie to the verified ID photo and returns a clear decision. Optional duplicate checks help stop repeat abuse at scale.

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Where Deepfake Detection Fits Best

Built For Regulated & High-Risk Businesses

Marketplace

Fintech

Forex

Banking

Gaming

Crypto

Gig Economy

Marketplace

Fintech

Forex

Banking

Gaming

Crypto

Gig Economy

Marketplace

Fintech

Forex

Banking

Gaming

Crypto

Gig Economy

Trusted Sellers, Repeat Fraud Blocked

Verify the seller is real at onboarding, then prevent re-joins with duplicate detection and optional 1:N matching across verified records.

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Fast Onboarding, Risk-Based Step-Up

Keep sign-ups smooth with passive liveness, then step up to active + 3D checks only when actions become high risk, without letting spoofing through.

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Protected Trades, Clean Step-Ups

Add strong presence checks before high-risk trades and sensitive account changes to reduce fraud and disputes caused by spoofed face verification.

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Account Recovery, Real Presence

Stop takeover attempts during resets, device changes, and high-risk logins by proving the user is live and physically present (not a deepfake or replay) with iBeta L1/L2 liveness + 3D depth.

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Protected Cashouts, Real Players

Stop cashout fraud and account takeovers by verifying live presence at payout moments, built to catch replay tricks and AI faces.

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Safer Withdrawals, Fewer Deepfakes

Block deepfakes, screen/video replays, and injected streams before withdrawals, address changes, and 2FA resets, so the person approving the action is actually there.

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