Vendor Document Forgery Indicator Detection
Vendoreye analyses submitted evidence for potential tampering and forgery indicators, including AI watermarks, inconsistent fonts and structure, icon or logo mismatches and conflicts between documents. The original evidence remains available to the authorised reviewer.
What the workflow supports
One governed verification path
Vendor verification summary
Example results demonstrate status handling; they are not results for a real vendor.
Licence identity and status matched
Registration details matched
No confirmed match; reviewer evidence retained
Illustrative supported-country ownership result
One structural inconsistency highlighted
Weekly screening enabled
Multiple integrity signals
Document review combines visible and structural indicators instead of treating one anomaly as proof of forgery.
Cross-document consistency
Names, identifiers, dates, issuing details and duplicated evidence can be compared across the vendor record.
Explainable review
The reviewer sees the highlighted indicator, confidence and original file rather than receiving only an opaque score.
Human conclusion
Automated analysis supports triage. It does not replace a qualified forensic examination or establish a legal finding of forgery.
Automated integrity analysis is probabilistic and can produce false positives or miss sophisticated manipulation. Material findings require authorised review and, where necessary, specialist forensic assessment.
Frequently asked questions
Does Vendoreye prove a document is forged?
No. It identifies potential tampering and inconsistency indicators for authorised review.
What indicators are analysed?
Approved indicators include AI watermarks, fonts, structure, icons, logos and cross-document field mismatches.
Is the original document retained?
The governed workflow keeps the submitted evidence available according to the tenant's access and retention controls.
Research references
- United Nations Security Council consolidated list
- UAE Federal Tax Authority
- FATF risk-based approach guidance