AI fraud scales
What once required effort and technical expertise can now be created at scale in seconds: realistic photos, invoices, receipts, and supporting documents.
File fraud detection without false alarms
Fraud detection is essential. Essential-FD provides a low-cost fraud detection layer without downsides. It checks incoming files for signs of manipulation in the background, requires no additional effort or workflow changes, and returns a simple Flagged or Clear result, all while producing no false alarms.
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Drag and drop documents here
or choose multiple images and PDFs
Multiple images and PDFs · Up to 32 MB each · Files are handled securely
Review doesn't
While manipulated images and forged documents can be created faster than ever, operations teams cannot forensically review every file by hand.
Fraud is costly
Submitted photos, PDFs, invoices, receipts, IDs, and supporting documents move through high-value workflows every day.
Industries where file fraud matters.
Essential-FD is built for businesses where submitted files decide payouts, approvals, refunds, access, or trust. The same technical checks can support different review workflows without adding manual burden.
Policy and loss file checks
Identify manipulated photos, forged invoices, edited PDFs, and other file-level signals before review teams spend time on suspicious submissions.
Application file checks
Screen pay slips, statements, invoices, and onboarding documents for technical signs of editing before they influence credit, risk, or account decisions.
Seller and buyer evidence
Check dispute photos, receipts, identity files, proof-of-ownership documents, and return evidence without forcing every case into a manual forensic review.
Candidate file checks
Review CVs, certificates, references, IDs, and portfolio files for technical signs of editing before they influence hiring or onboarding decisions.
Invoice and receipt integrity
Run background checks on invoices, receipts, delivery notes, and vendor-submitted PDFs before they enter payment or approval queues.
Proof and exception files
Inspect proof-of-delivery images, damage evidence, customs documents, and exception files for manipulation signals before downstream decisions are made.
Built on hard checks that do not create review noise.
Essential-FD checks documents, images, and metadata for clear technical signs of manipulation. It looks at file structure, timestamps, source traces, and forensic artifacts, and only raises flags that can be explained and traced back to a specific finding.
Document Forensics
Surfaces tampered or altered documents that would slip past a manual review.
Explore document forensics →Essential-FD
Image Forensics
Flags synthetic, manipulated, or otherwise non-authentic imagery submitted as evidence.
Explore image forensics →Metadata Analysis
Inspects file properties, timestamps, and source traces to detect inconsistencies in how evidence was created, edited, or submitted.
The age of AI brings more fraud, longer reviews, more manual effort, and more false positives. Let us fix that.