Insights
Document fraud,
explained.
Practical guides for mortgage, lending, insurance and onboarding teams on spotting edited and AI-generated files.
Choosing identity verification software for financial onboarding
Compare identity verification software for financial onboarding by source coverage, evidence outputs, accessibility, exception handling and operating cost.
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Mortgage fraud red flags: follow the evidence before funding
A mortgage review guide to suspicious documents, conflicting income, assets and property records, with corroboration paths and a clear record before funding.
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New account fraud: which check answers which question?
A bank and fintech control map for new account fraud: distinguish false applications, understand each signal and route unresolved evidence before opening.
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Artificial intelligence in insurance: uses, evidence and limits
See how insurers use AI in underwriting, pricing, service and claims, with the inputs, evidence limits and accountable decisions that differ for each use.
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FNOL: an evidence guide for insurer intake teams
Build a first notice of loss evidence record for insurer intake teams, with clear authenticity checks, targeted fresh capture and accountable adjuster handoffs.
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Claims fraud detection: reviewing suspicious evidence
Review suspicious claims documents, photos and video, resolve missing detector results, and record corroboration and an accountable investigation handoff.
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Intelligent document processing for insurance: a buying guide
Define insurance IDP requirements for classification, extraction, validation and routing, with clear boundaries for authenticity checks and claims decisions.
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Check fraud: an evidence guide for bank operations
Understand check fraud through the evidence banks need: check images, supporting PDFs, issuer records, deposit history and bank-owned review decisions.
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What is a draw inspection? A lender’s guide to release
Understand construction-loan draw inspections, what a progress report supports, who reviews the evidence, and why the lender still controls fund release.
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What is trade fraud? The evidence behind a financed trade
Learn how trade-finance fraud uses invoices and shipping records, what document analysis can establish, and where banks need independent corroboration.
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Reviewing a fake utility statement as proof of address
A bank and fintech guide to suspicious utility statements: preserve the upload, corroborate provider and account details, and resolve gaps in address evidence.
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Pay stub verification: a lender’s review workflow
A pay stub verification workflow for lenders: reconcile earnings, trace deposits, confirm the source and resolve suspicious documents with accountable review.
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Fraudulent receipts and invoices: a review guide
Review suspicious receipts and invoices in claims and finance. Preserve files, resolve discrepancies with independent records, and record a human decision.
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Bank statement verification: a lender's workflow
A lender's bank statement verification workflow: separate authenticity from financial claims, reconcile records and resolve discrepancies before underwriting.
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Invoice fraud detection for lending and claims reviewers
Review invoices for loans and claims. Separate file edits from billing, payment and completion, resolve version conflicts, and evaluate detection software.
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KYC deepfakes: what a selfie check can and can't tell you
Face match and liveness answer narrow questions. What selfie and video checks prove in onboarding, how deepfakes get past them, and the checks that help.
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Content Credentials (C2PA) explained for fraud teams
What a Content Credential proves, what it doesn't, and why a file without one is not a fake. A plain guide to C2PA for fraud, claims and onboarding teams.
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HELOC document fraud: why edited income slips through
HELOCs often close faster and with lighter checks than a first mortgage. Where edited documents get through, and the controls that catch them.
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How to spot a fake bank statement in a mortgage file
The signs of an edited bank statement on the page, in the file and across the loan file, and what to do when something looks wrong.
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How to spot AI-generated claim photos: six checks
How edited and AI-generated damage photos reach claims teams, the checks that help, and why no single signal should decide a claim.
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