Document Fraud Prevention
ekVerify
AI has made document forgery trivially easy. Fake salary letters, bank statements, and identity documents are now indistinguishable from genuine ones to any human reviewer. This page explains why manual review has failed — and how ekVerify, Ektar’s document signing and verification product, solves it definitively.
AI-Generated Documents Are Now the #1 Fraud Vector in GCC Personal Loans
AI-generated document fraud has surged 311% in the past year. Fake salary letters, bank statements, and employment certificates can now be produced in seconds — indistinguishable from genuine documents to any human reviewer. Onboarding biometrics confirm a person is present; they can’t confirm their documents are real. Across the GCC, fabricated salary letters are the leading cause of inflated loan approvals, creating immediate, measurable loss with no reliable way to catch it.
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AI-generated document fraud (past year)
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Fraud vector for personal loans in GCC
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Seconds for AI to generate a fake document
The time it takes a fraudster to produce a convincing fake. Manual review cannot keep pace with automated generation.
Use Cases Addressed
What Banks Need
Fabricated income documents have outpaced every manual defense banks currently rely on. ekVerify closes the gap by making authenticity mathematically provable at the point of issuance — turning every salary letter, bank statement, and employment certificate into a document that can be verified in seconds, not guessed at.
Salary Transfer Letter verification
The primary fraud vector for personal loans across the GCC. ekVerify makes fabrication instantly and mathematically detectable.
Bank statement verification
Employment verification
Any bank-issued document
Income certificates, tax returns, pension statements, government-issued certificates where the issuing body is a bank customer or partner.
Zero-disruption deployment
One API call integrates with the issuing institution’s existing document generation workflow. Only the QR code is added.
How ekVerify Works
01
When a document is generated, ekVerify signs it with an ECDSA cryptographic signature embedded in a QR code. Triggered via a single API call from the issuing system.
02
Any receiving party — a bank, lender, or employer — scans the QR. ekVerify returns Valid, Tampered, or Expired in milliseconds.
03
Any change to any field in the document — even a single character — invalidates the cryptographic signature. Indistinguishable forgery is mathematically impossible.
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One API integration. The issuing institution’s document generation workflow is unchanged. Only the QR is added.
Supported Document Types
Salary Transfer Letters — the primary fraud vector for personal loan approvals in the GCC. ekVerify closes this vector entirely.
Bank statements — for loan, mortgage, and credit applications
Employment verification letters — used across the GCC and South Asia for residency, credit, and benefits
Income confirmation documents — payslips, income tax returns, pension statements
Government-issued certificates — where the issuing authority is a bank customer or partner
Market Differentiation
Why ekVerify Is Different
Existing document fraud solutions focus on onboarding biometrics — face matching at account opening, liveness detection, ID capture. These confirm the person presenting is genuine. They do not confirm the documents they present are genuine. ekVerify addresses a use case no existing vendor has solved: cryptographic integrity verification of bank-issued documents after issuance, at any downstream touchpoint, by any party, with no change to the issuing workflow.
Integration Notes
Integration
ekVerify integrates via REST API. The signing call is triggered at the point the document is generated by the bank’s existing system — no changes to document templates or downstream processes. QR verification is available via API (for system-to-system verification) and a mobile-optimised web interface (for human verification flows). Typical integration timeline: 2–4 weeks.
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Talk to us about Document Fraud Prevention (ekVerify)
This page explains the problem, what the regulation requires, and how Ektar solves it.