Shufti Detects Fraud In Your Approved Customers

Deepfake faces, synthetic documents, replayed liveness sessions, and forged IDs are passing verification stacks built for an older threat model. A blind spot audit scans what already passed, in your own cloud, without moving PII.

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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

Shufti Recognised As A Top Performer in DHS RIVR 2025

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shufti-icone Top Performer | RIVR

The Gap Between Detection and Deception Is Widening

$40B

Projected AI fraud
losses by 2027

Source: Deloitte CFS

$16.6B

Losses reported to FBI IC3
in 2024

Source: FBI Complaint Center

300%

Of enterprises abandoning
standalone IDV by 2026

Source: Gartner

Trusted by 2,000+ Clients Worldwide

Shufti Finds & Removes Your Weak Points

Four Blind Spots, Four Engines to Expose Them

Face Deepfake Detector

Swapped and AI-generated faces pass simple face matching because they sit on top of real ID photos. Shufti detects texture anomalies,...

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Liveness Detector

Replayed videos, virtual cameras and screen injections bypass blink-based liveness checks. Shufti combines depth, motion...

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Document Deepfake Intelligence

Fraudsters generate IDs from stolen templates, correct layouts, fonts and security marks but the document was never issued...

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Document Originality

The same ID gets screenshotted, reprinted and re-uploaded across accounts, each time appearing as a fresh capture...

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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 Blindspot Audit

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.

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.

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One Audit. Four Engines Your Data, Your Cloud

AI-driven forgeries are already sitting in your approved customers. One private audit, with four specialised engines, shows you where, without any PII leaving your cloud.

Challenge Your Current Controls

Rescan already-approved liveness, face and document checks with Shufti’s four engines to see where spoofs, deepfakes and forged IDs slipped past your existing stack.

No New Vendor Overhead

Deploy directly from your cloud marketplace into your own VPC. No data export, no new integrations, no long contracts, just audit-grade results with zero PII leaving your environment.

Focus on High-Risk Journeys

Start with 2025’s highest-value accounts, risky corridors and known fraud cases. Use the findings to harden KYC and P2P flows before the next regulatory review.

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Shufti Treats Every Frame and Pixel as Evidence

How Shufti Closes the Gap

Multi-Signal Media
Forensics

Shufti’s models analyse depth, motion, lighting, reflections and device artefacts together, not just face similarity to distinguish real presence from scripted or injected feeds.

Document-Level
Authenticity Checks

For documents, Shufti cross-checks printed fields, MRZ/barcodes, fonts and security elements against trusted designs to expose subtle edits, reused images and machine-drawn layouts.

Continuous Adversarial
Testing

Shufti’s research team routinely attacks its own models with new deepfake, replay and editing tools, shipping targeted updates so your audit reflects how fraudsters actually operate in 2025, not last year’s lab tests.

Built for the
Teams That Own
Fraud and
Compliance

Compliance Officers & MLROs

Regulators are tightening expectations around AI-enabled fraud detection. A blind spot audit provides documented evidence that your organisation re-evaluated historical approvals against current threat models. Results generate compliance-ready reports with timestamped findings, risk scores, and remediation recommendations.

Fraud & Risk Operations

The audit automates re-scanning across four attack surfaces and prioritises flagged identities by risk score. Results feed directly into transaction monitoring systems and case management workflows, turning a portfolio-wide scan into actionable investigation queues.

Product & Engineering

Integration options range from no-code batch uploads to full API embedding. The audit runs in your cloud with no architectural changes to your production pipeline. Engineering teams can deploy a pilot in days and scale to production without migrating infrastructure.

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Run a Blind Spot Audit Where Failure Hurts Most

Shufti for High-Risk Industries

Digital Banks & Fintech

Re-verification stops deepfake customers from opening deposit and lending products. Audit results support regulatory examination responses.

PSPs & Remittance

Scans historical approvals for document forgeries. Audit feeds into AML transaction monitoring to flag high-risk customers before enforcement actions.

Crypto Exchanges & Web3

Demonstrates compliance with travel rules and KYC obligations. Supports regulatory correspondence and DAO governance frameworks.

Online Lending & BNPL

Catches deepfake fraud applicants and edits date-of-birth documents before defaults escalate.

Gaming & iGaming

Flags account takeover fraud and underage account creations in historical portfolios.

Marketplace & Gig Economy

Identifies fraud rings operating across seller accounts. Platform safety teams use results to block coordinated attacks.

EVERYTHING YOU NEED TO KNOW IN ONE PLACE

Frequently Asked Questions

What does a blind spot audit actually scan?

It re-analyses your existing approved customer records across four detection surfaces: deepfake faces, liveness spoofs, manipulated documents, and Al-generated documents. It does not interact with your live verification pipeline.

Does any customer data leave our environment?

No. Shufti deploys the detection engine inside your AWS account. Records are analysed where they already live. Nothing is transmitted externally.

What does a flagged result include?

Each flagged record returns a status classification, confidence score, and signal breakdown identifying the specific anomaly detected. The evidence package is formatted for direct use in compliance workflows, SAR filings, or regulatory submissions.