Detect deepfake documents
Fraudsters use AI to make fake documents look legitimate. Inscribe is purpose-built to stay ahead and laser-focused on the documents that move money in financial services.
AI is changing how teams operate, and document fraud is changing with it
1 in 16 documents show signs of fraud
The volume of fraudulent documents entering lending and onboarding workflows is rising every year, and nearly all of them look legitimate at first glance.
AI-generated fraud grew 5x last year
A convincing fake document now takes seconds to produce. AI-generated fraud is no longer an emerging threat — it's already in your application pipeline.
Some of our largest dollar preventions have come directly from Inscribe detections. We’re talking $80 million in losses prevented.
For the fraud, risk, and operations teams who can’t afford to get it wrong
Prevent fraud losses from bad approvals
Suspicious, altered, and fake documents get submitted every day. The ones that slip through become fraud losses. Inscribe catches what manual review and other platforms miss.
Cut the operational cost of manual review
Large teams reviewing documents by hand is expensive and does not scale. What takes a human hours, Inscribe does in seconds, freeing your team for the work that needs them.
Speed up decisions without adding risk
Slow onboarding and inconsistent decisions cost you customers. Inscribe gives your team the confidence to approve faster and automate workflows that were previously too risky to touch.
The leading agentic document fraud platform built for financial services
A holistic approach to document fraud detection
No single detection method catches every type of document fraud. Inscribe combines forensic, network, semantic, perceptual, public data, and custom signals to analyze documents from multiple angles. Together, these methods help catch inconsistencies a single approach would miss, so your team can uncover more document fraud without introducing unnecessary noise.
Built for the documents that move money
The documents used to verify income, revenue, identity, and financial health are among the most targeted by fraud. Inscribe focuses on the financial documents your team reviews every day, like bank statements, paystubs, and tax forms. Our detectors are not adapted from generic tools, so you get signals that are relevant, actionable, and grounded in real workflows.
From finding to decision, fast
The cases that need a human review should not take long. Inscribe surfaces what analysts need without making them dig for it. Every finding comes with a risk level, a clear description of what was detected, and the most relevant insights ranked by severity, so your team can read the situation and act without having to piece it together themselves.
Configured to fit your workflows
Every organization defines risk differently. Configure checks around what matters most to your team, whether that is a clear fraud signal or a risk indicator that shapes how you decision an application. Inscribe flags what your SOPs call for, with the right balance of precision and recall built in, so analysts can focus on meaningful risk instead of reviewing everything.
Agentic reasoning across every document
Most document fraud tools analyze documents in isolation. Inscribe reasons across an entire application, connecting signals across documents the way an experienced analyst would. When deeper investigation is needed, our Assistant can explain what it found and answer follow-up questions, helping teams understand complex applications faster.
Focused on the workflows where document fraud hits hardest
Underwriting
Catch altered bank statements, fabricated pay stubs, and AI-generated documents before a loan is approved. Inscribe helps underwriting teams stop fraud without slowing down legitimate applicants.
Account Opening (KYC/KYB)
Verify business legitimacy and prevent fraudulent accounts by analyzing documents and enriching every application with trusted identity and business data, so your team can approve with confidence.
Bank Account Verification
Confirm account details before funds go out by detecting modified account numbers and fabricated bank statements before they cause misdirected transfers or disbursements.
Other Workflows
Catch document fraud across every workflow where documents are used to establish trust, verify identity, or make important decisions.
Works with the platforms you already rely on
Inscribe integrates directly into the platforms your team already uses — loan origination systems, orchestration platforms, and the rest of your tech stack. Connect via API or a partner integration and keep engineering overhead low.
Independently audited controls covering security, availability, and confidentiality.
Internationally recognized information security management standard, covering how we protect customer data end to end.
Role-based access, audit logs, data encryption, and dedicated support for enterprise security reviews.
Need to complete a security review before moving forward?
Our Trust Center includes reports, assessments, and resources to make that process straightforward.
Want to see what’s hiding in your applicant documents?
Book a demo and we'll share more about our complimentary document fraud audit.
FAQs
Document fraud is the use of falsified, altered, or fabricated documents to misrepresent identity, income, assets, or business information. Common examples include fake bank statements, pay stubs, tax forms, invoices, and financial statements. With the rise of generative AI, document fraud has become more sophisticated and harder to detect using manual reviews or legacy rules-based systems.
AI document fraud detection uses machine learning, forensic analysis, metadata inspection, and contextual reasoning to identify signs of fraud within financial documents. Inscribe combines layered detectors with agentic AI to analyze document structure, visual details, content consistency, and relationships across an entire application. This helps fraud teams detect deepfake documents, forged bank statements, fabricated pay stubs, and other forms of AI-generated document fraud in seconds.
Deepfake document detection requires more than simple rules or manual review. Fraudsters now use generative AI to create realistic financial documents that closely resemble legitimate files. Inscribe’s AI-powered document fraud detection platform identifies hidden inconsistencies across metadata, formatting, transaction patterns, and semantic details to uncover AI-generated fraud. By combining forensic analysis with reasoning across multiple documents, Inscribe helps businesses detect sophisticated document fraud before it leads to financial losses.
Inscribe detects a wide range of financial document fraud, including altered bank statements, fake pay stubs, fabricated tax forms, manipulated invoices, synthetic business documents, and forged financial statements. Our document fraud detection software is purpose-built for financial services workflows like underwriting, account opening, KYC/KYB, and bank account verification. Inscribe helps fraud and risk teams identify fraudulent documents earlier while reducing false positives and unnecessary manual reviews.
Banks, fintechs, lenders, and credit unions are adopting AI-powered document fraud detection software because AI-generated fraud is growing faster than manual review processes can keep up with. Traditional fraud tools often rely on static rules that struggle to detect modern deepfake documents and sophisticated forgeries. Inscribe helps financial institutions reduce fraud losses, automate manual document review, improve underwriting speed, and make faster, more confident decisions without increasing operational risk.
