Your Liveness Check Has Approved Spoofs!

Find them before your regulator does

Attackers no longer try to fool the camera. They bypass it entirely, injecting pre-recorded or AI-generated video directly into the verification pipeline. Run an audit with Shufti’s Liveness Detector inside your own cloud, revealing hidden spoofs with zero PII leaving.

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tick-img Runs Entirely in your cloud

tick-img No PII Ever leaves

tick-img No Integration or coding

tick-img 50K Identity Pilot In 30 days

Spoofing Is
Surging

Has Your Liveness Kept Up?

$200M+

deepfake fraud
losses in 2025

Source: World Economic Forum

1,740%

deepfake fraud increase
in North America

Source: World Economic Forum

$2.77B

BEC losses in
2024

Source: FBI IC3

Trusted by 2,000+ Clients Worldwide

Detection Technology

Four Spoof Vectors Your Original Check Could Not See

Injection Attack Defense

Shufti analyses capture-path integrity and device metadata to detect virtual camera drivers and software-layer video injection. Flags sessions where synthetic media bypassed the physical camera entirely before reaching the liveness check.

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Replay Attack Detection

Shufti cross-references session uniqueness signals across submitted liveness recordings. Detects resubmitted genuine sessions used to impersonate a different applicant — a failure mode motion-compliance checks cannot catch.

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Face Swap Analysis

Shufti applies frame-level artefact detection across the full liveness session. Identifies real-time face swap overlays where genuine motion was present but the facial identity was substituted using swap tooling.

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Retroactive Passive Liveness Scoring

Shufti re-runs historic passive liveness sessions through current detection models. Applies updated PAD classifiers trained on post-2023 attack tooling to sessions originally approved against earlier baselines.

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Deploy Where Your Data Lives

Run Shufti Inside Your Environment

Run Shufti within your own infrastructure for maximum data control and privacy.

Keep all sensitive information in-house to meet strict governance and residency requirements.
Keep sensitive information fully private and secure in-house.
Deploy in highly regulated sectors without compromising compliance.

Explore Deepfake detection

Explore Blindspot Audit

Build fully customizable verification flows with seamless backend integration.

Gain full control by customising verification flows end-to-end.
Integrate seamlessly with your backend for quick implementation.
Design flexible verification journeys tailored to your users.

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Launch a native verification experience in your mobile app within minutes.

Launch native verification within minutes on iOS or Android.
Use ready-made UI with camera, capture, and real-time feedback.
Customize flows to fit seamlessly into your mobile app.

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Quickly launch identity verification through a secure, customisable web link, no code required.

Start verifying users instantly with a no-code setup.
Deliver a consistent identity experience via a link or embedded iframe.
Deploy quickly via a secure link or embedded iframe.

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Start My Liveness Audit Now

Launch Shufti’s Liveness Detector from your preferred cloud marketplace, upload your toughest cases, and see exactly where liveness are slipping past your current IDV.

Easy deployment
No Integration
No new contracts

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Built for the
Teams That Own
Fraud and
Compliance

Compliance Officers

Injection-based account takeover is a growing regulatory focal point. The audit generates timestamped evidence showing which liveness sessions were compromised and when — supporting regulatory reporting and demonstrating proactive risk management.

Fraud & Risk

Compromised liveness sessions often precede high-value account takeover events. The audit flags at-risk sessions before attackers exploit them, feeding risk-scored results into transaction monitoring and case management for prioritised investigation.

Product & Engineering

Integrate injection detection into your authentication pipeline or run it as a batch audit on historical sessions. API access, SDK options, and sandbox environments allow engineering teams to evaluate detection accuracy before deploying to production.

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Run a Blind Spot Audit Where Failure Hurts Most

Where Injection Fraud Hits Hardest

Global Banks & Fintech

Account takeover via injection attacks drains customer deposits. Re-verification flags compromised sessions before financial damage occurs.

PSPs & Remittance

Injection-compromised accounts process high-value transfers for money mules. Audit flags at-risk customers before they appear in transaction screening.

Crypto Exchanges & Web3

Exchange takeovers via injected liveness sessions steal customer wallets. Audit identifies high-loss-risk accounts for immediate review.

Online Lending & BNPL

Account takeover enables fraudulent loan drawdowns in customer names. Audit results support collections and law enforcement referrals.

Gaming & iGaming

Account takeover by abusers leads to chargeback fraud and responsible gaming violations. Audit isolates compromised sessions for investigation.

Telecom & Mobile Operators

Injection attacks enable SIM swap fraud and phone number takeover. Audit supports network security and fraud prevention teams.

EVERYTHING YOU NEED TO KNOW IN ONE PLACE

Frequently Asked Questions

What is a liveness detection audit?

It re-analyses stored liveness videos from your KYC archive to identify sessions compromised by injection attacks, replay fraud, or presentation spoofs - using detection models trained after your original session was approved.

How do injection attacks bypass liveness checks?

Injection attacks bypass the camera entirely, inserting synthetic or pre-recorded video into the verification pipeline through virtual camera drivers or API interception. The liveness model receives a video feed but the source is not a live camera.

Can stored liveness sessions be re-checked without customer resubmission?

Yes. Shufti re-analyses stored liveness videos. Customers do not need to repeat their session.

Does data leave our environment?

No. The audit runs within your cloud environment. Videos are analysed inside your infrastructure and results are delivered to your dashboard without transmitting PII externally.

What is the difference between liveness detection and deepfake detection?

Liveness detection confirms a real person is present at capture but cannot detect if the feed was injected. Deepfake detection identifies if the face is synthetic. Both checks are needed and can be run in the same session.