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Blind Spot Audit

Spot Fraud in your approved Customers

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Deepfake Detector

Check where deepfake IDs slipped
through your stack.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Liveness Detection

Find the replay gaps in your passed
liveness checks.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Document Deepfake Detection

Spot synthetic documents hiding in
verified users.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Document Originality Detection

Stop fake documents before they pass.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Introducing Blind Spot Audit. Spot AI-generated forgeries with advanced document analysis. Teg-1 Run Now on AWS right-arrow-2

Introducing Blind Spot Audit Teg-1

Spot AI-generated forgeries with advanced document analysis.

Run Now right-arrow-2
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Introducing Deepfake Detector. Detect deepfakes with precision your stack has missed. Teg-1 Run Now on AWS right-arrow-2

Introducing Deepfake DetectorTeg-1

Detect deepfakes with precision your stack has missed.

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Introducing Liveness Detection. Detect spoofs with technology built for sophisticated fraud. Teg-1 Run Now on AWS right-arrow-2

Introducing Liveness DetectionTeg-1

Detect spoofs with technology built for sophisticated fraud.

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Introducing Document Deepfake Detection. Spot AI-generated forgeries with advanced document analysis. Teg-1 Run Now on AWS right-arrow-2

Introducing Document Deepfake DetectionTeg-1

Spot AI-generated forgeries with advanced document analysis.

Run Now right-arrow-2
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Introducing Document Originality Detection. Verify document authenticity before your next audit. Teg-1 Run Now on AWS right-arrow-2

Introducing Document Originality DetectionTeg-1

Verify document authenticity before your next audit.

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us

216.73.216.105

Shufti Detects Deepfakes In Your Verified Accounts

Find Out How Many?

Deepfakes that passed your system six months ago are sitting in your customer base now. The question is not whether deepfakes passed your stack, it is how many are already there.

tick-img tick-img Runs Entirely in your cloud

tick-img tick-img No PII Ever leaves

tick-img tick-img No Integration or coding

tick-img tick-img 50K Identity Pilot In 30 days

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Deepfakes Are Evolving

Can Your IDV Spot the Fake?

$40B

projected AI fraud
losses by 2027

Source: Deloitte

$25M

stolen in single
deepfake video call

Source: CNN

$16.6B

internet crime
losses in 2024

Source: FBI IC3

Trusted by 2,000+ Clients Worldwide

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Detection Technology

Four Layers That Catch What Single-Model Systems Miss

AI Forensic Engine

Multiple models analyse pixel artefacts, noise signatures, face swaps, and temporal consistency across video frames simultaneously. Each model is trained on a different generation of deepfake tooling.

Learn more

Synthetic Pattern Analysis

Multiple models analyse pixel artefacts, noise signatures, face swaps, and temporal consistency across video frames simultaneously. Each model is trained on a different generation of deepfake tooling.

Learn more

Sensor Noise Verification

AI can mimic a face but cannot replicate randomised sensor noise from a real camera lens. The detector maps noise distributions across the image and flags those matching digital rendering rather than optical capture.

Learn more

Compression Signature Analysis

AI-generated images carry different JPEG compression patterns than camera-captured photos. The detector identifies these signatures even after multiple re-saves and format conversions.

Learn more
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

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.
Explore API Docs

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.
Explore SDK Docs

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.
Explore API Docs

Start My Deepfake Audit Now

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

  • Easy deployment
  • No Integration
  • No new contracts

Built for the
Teams That Own
Fraud and
Compliance

Compliance Officers

Compliance Officers

Deepfake fraud is a named and growing regulatory risk. Auditing your KYC portfolio for synthetic media provides documented evidence of due diligence, timestamped compliance reports showing which approvals were flagged and what action was taken.

Fraud & Risk Operations

Fraud & Risk Operations

Deepfake approvals become loss events when the synthetic and AI- generated identity defaults on credit, launders funds, or triggers chargebacks. The audit identifies compromised accounts before losses materialise, with risk-scored outputs that feed directly into investigation queues.

Product & Engineering

Product & Engineering

Run as a standalone batch audit or integrate deepfake detection directly into your onboarding pipeline. SDK, API, and no-code options allow engineering teams to deploy a pilot in days and evaluate detection accuracy against their own customer data before scaling.

Run a Blind Spot Audit Where Failure Hurts Most

Who Needs Deepfake Detection The Most

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Digital Banks & Fintech

Deepfakes enable account takeover and deepfake fraud. Scanning historical selfies prevents fraud loss reserves from increasing.

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PSPs & Remittance

Deepfake money mules open accounts to launder proceeds. Audit catches compromised selfies before they appear in transaction monitoring.

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Crypto Exchanges & Web3

Deepfake attack rings compromise exchange onboarding at scale. Audit results feed into transaction screening and risk scoring.

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Online Lending & BNPL

Deepfakes applied for loans in real names, defaulting immediately. Audit identifies compromised accounts for loss recovery.

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Gaming & iGaming

Deepfakes bypass age verification to enable underage gambling. Audit flags historical approvals for account closure.

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Marketplace & Gig Economy

Seller deepfakes run coordinated fraud rings across platforms. Audit results enable platform safety teams to identify and block them.

EVERYTHING YOU NEED TO KNOW IN ONE PLACE

Frequently Asked Questions

What is deepfake detection in identity verification?

Deepfake detection uses Al forensic analysis to identify synthetic or Al-generated faces in selfies and video. It complements liveness detection by identifying when the face itself is artificial, not just when the presentation is spoofed.

How do deepfakes bypass KYC checks?

Legacy KYC stacks check for presentation attacks, printed photos, screen replays, but not generative Al output. A deepfake trained on thousands of real faces is indistinguishable from a real selfie to systems not trained to detect pixel artefacts, noise inconsistencies, and compression signatures.

Can I audit existing approved KYC images?

Yes. The audit re-analyses all historical selfies and identity documents already approved, using detection models trained on synthetic media.

Does customer data leave our environment?

No. The audit runs entirely within your cloud account. Images are analysed inside your infrastructure and results never leave it.

What is the difference between deepfake detection and liveness detection?

Liveness confirms a real person is present at capture. Deepfake detection identifies whether the face itself is synthetic. A deepfake can pass liveness because it exhibits movement and micro-expressions. Deepfake detection catches what liveness alone cannot.

See How Many Deepfakes
Your Stack Already
Approved.

More of Shufti AI: Try Now

Face Liveness

Find deepfakes, replays, and spoofs hiding in passed liveness sessions, all inside your cloud.

Learn more

Document Deepfake Intelligence

Re-scan approved IDs to expose AI-generated and forged documents without sharing PII data.

Learn more

Document Originality Check

Verify that the documents passing your current ID checks are authentic and untampered.

Learn more