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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
.

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.

Run Now right-arrow-2
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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.

Run Now right-arrow-2
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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.

Run Now right-arrow-2

us

2600:1f28:365:80b0:2b21:15bc:b0f7:b89

Shufti Exposes Document Deepfakes In Your Approved Portfolio

Find the Forged IDs Your IDV Missed

Standard document checks catch edits by comparing submissions to known genuine templates. Blind Spot Audit surfaces AI-generated, never-issued IDs hiding in your approved portfolio.

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

Has Your Deepfakes Kept Up?

32%

annual growth in
AI-enabled fraud

Source: Deloitte

$12.3B

GenAI fraud losses in 2023

Source: Deloitte

$40B

projected AI fraud
losses by 2027

Source: Deloitte

Trusted by 2,000+ Clients Worldwide

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Detection Technology

Four Signals That Expose Documents
Containing Sophisticated Fraud

Generative Model Artefact Detection

Shufti analyses document images at the frequency domain level for the statistical signatures of GAN outputs, diffusion models, and neural renderers. Detects synthetic generation that produces no template deviation because no genuine original exists.

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Semantic Cross-Field Validation

Shufti validates every data field against every other for logical consistency. Flags documents where individual fields pass format checks but cross-field relationships, date of birth, expiry, issuing authority validity period, are implausible in combination.

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Security Feature Synthesis Analysis

Shufti evaluates whether security features , guilloche patterns, microprint, holograms, show photographic reproduction characteristics or AI-synthesis markers. Genuine, manipulated, and wholly generated documents each produce distinct signal profiles.

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Capture Metadata Provenance Check

Shufti inspects image file metadata for the absence of camera capture data and the presence of generation tooling signatures. A document image without device metadata and with a creation timestamp inconsistent with its claimed issue date is a high-confidence synthetic indicator.

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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

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 Document Deepfake Audit Now

Launch Shufti’s Document Deepfake Detector from your preferred cloud marketplace, upload your highest-risk IDs and business documents, and see where AI-forged layouts, faces and seals are being approved by your current checks.

  • Easy deployment
  • No Integration
  • No new contracts

Built for the
Teams That Own
Fraud and
Compliance

Compliance Officers

Compliance Officers

AI-generated identity documents represent a fraud category that standard KYC systems were not designed to detect. The audit provides documented evidence that your organisation assessed historical approvals against generative AI fraud, a standard regulators are beginning to reference explicitly.

Fraud & Risk Operations

Fraud & Risk

Synthetically generated documents are used to open accounts for credit fraud, money laundering, and benefits abuse. The audit identifies which approved identities carry synthetic document risk, with risk-scored outputs for immediate investigation prioritisation.

Product & Engineering

Product & Engineering

The audit processes stored document images with no changes to the live pipeline. Integration via API or batch upload. Results return structured JSON with per-record signal breakdowns and confidence scores, compatible with existing case management and transaction monitoring systems.

Run a Blind Spot Audit Where Failure Hurts Most

Who Needs Document Deepfake Detection The Most

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Banks & Fintech

AI-generated national IDs enable deepfake fraud accounts for deposit fraud and money laundering. Audit identifies generated documents in historical onboarding records.

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PSPs & Remittance

Synthetically generated IDs pass KYC to open accounts used for high-value money movement. Audit flags at-risk accounts before they trigger transaction monitoring.

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Crypto & Web3

Generated documents allow fraudsters to onboard at scale across exchanges. Audit results feed into risk scoring for the existing account base.

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Lending & BNPL

Synthetic documents enable first-payment default fraud at scale. Audit identifies generated IDs in the approved loan portfolio before losses escalate.

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Gaming & iGaming

AI-generated age documents bypass age verification at onboarding. Audit flags synthetic approvals for account review and closure.

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Marketplace & Gig Economy

Generated identity documents enable coordinated seller fraud rings. Platform safety teams use audit results to identify and remove synthetic accounts.

EVERYTHING YOU NEED TO KNOW IN ONE PLACE

Frequently Asked Questions

What is document deepfake detection?

It identifies identity documents generated by Al rather than issued by a genuine authority. Unlike manipulation detection, it does not look for edits to a real document, it looks for generative model signatures present in a document created from scratch.

How is this different from document originality detection?

Document originality detects edits made to genuine documents. Document deepfake detection identifies documents that were never real. Both are complementary and can be run on the same record set.

Can Al-generated documents pass standard verification?

Yes. They are constructed to match known templates and pass format validation. They fail at the frequency-domain and metadata level, signals that template-matching verification does not assess.

Does the audit require new document submissions from customers?

No. It re-analyses document images stored from original onboarding. No customer contact is required.

Does data leave our environment?

No. All analysis runs inside your cloud account. Document images are processed within your infrastructure and results are returned to your dashboard without transmitting PII externally.

Find the AI-Generated IDs Hiding in Your Approved Customer Base

More of Shufti AI: Cover Every Blind Spot

Deepfake Detector

Block all the forged AI-generated faces and fake identities with Shufti's Deepfake Detector.

Learn more

Document Originality Check

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

Learn more

Face Liveness

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

Learn more