Forensic and AI-aware document fraud detection across the KYC stack.
Detection layers are weighted for the document mix your industry actually reviews — IDs, statements, paystubs, invoices, leases, and policies.
Inspects EXIF, software signatures, edit history, and structural fingerprints.
Originals are processed in encrypted memory and removed after analysis. Reports stay redacted by default.
KYC fraud is no longer just photo-of-ID. Synthetic IDs, AI-generated address proofs, and forged source-of-funds documents pass data-only checks every day.
TrueDoc adds document-level forensics and AI-generation detection across every KYC artifact — with evidence regulators can read.
AI-generated IDs and passports passing template checks
Forged utility bills and bank statements as address or source-of-funds proof
Synthetic identities engineered for fraud rings
Recycled real documents reused across accounts
Your own UI or TrueDoc's hosted upload.
Send file plus customer ID and risk tier.
Trust score, per-field findings, and AI-generation indicators.
Auto-approve clean cases, escalate high-risk, and store evidence for audit.
Fintech KYC and onboarding teams typically see the same three failure modes: submissions that look professional but were assembled from a template, real documents recycled from a prior application with edited fields, and fully AI-generated files that no longer trip rule-based checks.
The hardest of those is the second — recycled real documents — because the underlying file is genuine. TrueDoc looks at submission lineage and pixel-level evidence, not just whether the document "looks real."
TrueDoc is built to sit alongside your current process, not replace it. A typical rollout: documents land in your existing intake (CRM, LOS, ATS, or portal), TrueDoc returns a verdict and per-field evidence via API or dashboard, and your reviewers spend their time on the cases the model isn't confident on.
That keeps the fintech kyc and onboarding teams accountable for the final decision while removing the obvious-good and obvious-bad cases from the queue.
Two loss patterns dominate: ai-generated ids and passports passing template checks, and forged utility bills and bank statements as address or source-of-funds proof. The first is loud — a single application that goes wrong. The second is quieter and more expensive: the same fabricated document type re-used across many submissions before anyone connects the cases.
Both show up in the per-finding evidence TrueDoc returns. Teams that review the recycled-document patterns weekly tend to catch organised submitters earlier in the lifecycle.
No credit card. Redacted report in under a minute.