blind-spot-audit

Your IDV Stack is
Approving Fake Identities

The Blind Spot Audit Shows You Where

Rescan verified customers with Shufti’s Blind Spot Audit directly in your own cloud and see what your current controls missed.

Run Now On AWS Explore All Clouds

tick-img Runs entirely in your cloud

tick-img No PII Ever leaves

tick-img No integration or coding

tick-img 100 Free checks

FRAUD LOOKS CLEAN IN YOUR LOGS. IT’S NOT

Your System is Approving Fake Identities

On paper, almost every verification looks fine. In reality, AI fraud is hiding inside approved customers and accounts, waiting to turn into charge-offs, write-downs and enforcement headlines.

Deepfake fraud attempts have surged 3,000% globally in the last year alone.

Analysts now project AI-enabled fraud losses could reach tens of billions of dollars globally by 2027.

Regulators are coming down hard, issuing multi-billion-dollar penalties for AML and KYC control failures.

Shufti does not ask you to replace your stack immediately. Shufti asks you to audit it.

One Audit. Four Engines Your Data, Your Cloud

On paper, almost every verification looks fine. In reality, AI fraud is hiding inside approved customers and accounts, waiting to turn into charge-offs, write-downs and enforcement headlines.

Challenge Your Current Controls

Run liveness captures, face images and ID documents your system already approved through Shufti’s engines to see where spoofed or manipulated media slipped through.

No New Vendor Overhead

Deploy from your cloud marketplace into your own cloud. Billing, security and procurement stay inside your existing cloud relationship. No long contracts, no new integrations.

Focus on High-Risk Journeys

Start with 2025’s highest-value accounts, risky corridors or specific fraud cases. Use the findings to harden flows before the next reporting cycle.

Deploy in Minutes. See the Gaps Straight Away

How the Blind Spot Audit Works

Step 1

Deploy in Your Cloud

Launch Shufti from AWS Marketplace into your environment. All processing happens in your cloud; Shufti never sees or stores your PII.

Step 2

Select Sessions to Re-Check

Point the audit at historic KYC captures – face images, liveness videos and ID documents – from your existing IDV process. No SDK changes or customer-facing work needed.

Step 3

Review Blind Spots and Actions

See where Shufti flags deepfakes, spoofed liveness or forged documents your stack passed. Export evidence for investigations, model updates and governance packs.

Shufti Finds & Removes Your Weak Points

Four Blind Spots, Four Engines to Expose Them

Traditional IDV Wasn’t Built for AI-Age Attacks

Built for Yesterday’s Attacks

Image Quality Filters

Score sharpness and glare, assume any clear image is genuine.

Template & MRZ Rules

Validate layouts and check digits; any matching image is trusted.

Basic Liveness Prompts

Blink and smile checks catch printed photos, not injected video or masks.

Missing Today’s Attacks

Deepfake Faces

AI tools generate faces that look human at a glance.

Digitally Forged IDs

Computer-made documents reuse perfect backdrops with altered details.

Injected & Virtual Cameras

Fraud labs feed pre-rendered streams straight into the session.

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.

One Audit, Your Teams Aligned

Compliance Officers

Fraud & Risk Operations

Product & Engineering

Prove biometric and document controls have been tested against modern AI-driven attacks, not just legacy scenarios.

Use audit findings in model-risk and third-party risk reviews to evidence control effectiveness.

Demonstrate that sensitive journeys; KYC, ongoing due diligence, high-risk regions, have been red-teamed with real fraud vectors.

Quantify how many approved customers show signs of spoofed liveness, deepfake faces or forged IDs.

Identify attack clusters by device, geography and journey step to focus prevention spend.

Feed results into rules, case-management priorities and manual review guidelines without adding friction for genuine users.

Measure liveness and document-check performance using real traffic instead of lab test sets.

Validate current vendors and flows before making costly re-platforming decisions.

Use audit outputs as a second opinion when tuning risk thresholds or adding controls to key steps.

Run a Blind Spot Audit Where Failure Hurts Most

Shufti for High-Risk Industries

Digital Banks & Fintech

Re-test 2025 onboarding to find AI-forged IDs and spoofed liveness that opened mule and high-risk accounts before they show up in AML alerts or write-offs.

Payments, PSPs & Remittance

Audit merchant and consumer onboarding to uncover replayed sessions and forged documents used to set up fake pay-out routes and high-risk sender/receiver profiles.

Crypto Exchanges & Web3

Check whether your current KYC would catch AI-assisted IDs, deepfake selfies and non-live sessions used to move funds anonymously across tokens and chains.

Online Lending & BNPL

Scan historic applications to identify hidden identity-fraud clusters – borrowers with manipulated IDs and non-live selfies that your credit models treat as ordinary risk.

Gaming, Gambling & Sports Betting

Re-check age, jurisdiction and self-exclusion flows for spoofed liveness and forged IDs that allowed bonus abuse, multiple personas and restricted-region play.

Marketplaces, Gig & Sharing Economy

Validate that buyers, sellers and hosts were ever physically present at verification. Surface re-used IDs and spoofed faces behind repeat bans, chargebacks and safety incidents.

Accredited liveness, multi-layered fraud defences & global reach

Shufti Delivers in the Real World

Independently Validated Liveness

iBeta Level 1 & 2 presentation-attack detection for passive and active liveness flows.