AI Document Fraud Detection Software for Financial Services
Summary
A product web page for Inscribe, which describes itself as an AI document fraud detection platform built for financial services. The page states that 1 in 16 documents show signs of fraud and that AI-generated fraud grew 5x last year, and promotes detection of altered bank statements, pay stubs, tax forms and AI-generated documents in underwriting, account opening (KYC/KYB) and bank account verification workflows. It carries customer claims of $80 million in prevented losses, attributed to Nickie Christianson, a 90% reduction in manual document reviews, and review times of 30 seconds, and a quotation from Alex De Jesus, identified as a head of fraud. The page closes with integration, security and trust center notes and a set of FAQs on document fraud and deepfake document detection.
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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. Book Demo 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 is rising every year, and nearly all look legitimate at first glance. Every one that gets through isn't just a loss, it's funding organized fraud rings, and sometimes far worse. 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, and every dollar it moves funds the people behind it. Some of our largest dollar preventions have come directly from Inscribe detections. We’re talking $80 million in losses prevented. Nickie Christianson Senior Manager, Account Protection Team 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. Configured to 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. 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. 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. Bank statements Pay stubs Tax forms Financial statements Credit card statements 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. Driving licenses Social security cards Business filings Utility bills Tax forms Bank statements 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. Bank statements Utility bills Pay stubs Other workflows Catch document fraud across every workflow where banks, credit unions, lenders, and fintechs use documents to establish trust, verify identity, or make important decisions. Invoices Benefits statements Lease agreements Investment statements Financial statements Loved by fraud teams, feared by fraudsters 90% reduction in manual document reviews Read Story $80M in prevented fraud losses Read Story $3M in losses prevented in just 8 months Read Story “Inscribe has become a key component in our fraud ecosystem. The cost-benefit is clear.” Alex De Jesus, Head of Fraud Read Story 30 seconds to accurately review documents for fraud (down from 1-2 days) Read Story All Customer Stories 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. + more via API 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. Visit Trust Center Want to see what’s hiding in your applicant documents? Book a demo and we'll share more about our complimentary document fraud audit. Book Demo FAQs What is document fraud? 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. How does AI document fraud detection work? 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. How can businesses detect deepfake documents and AI-generated fraud? 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. What types of financial document fraud can Inscribe detect? 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. Why are banks and fintechs adopting AI-powered document fraud detection software? 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.
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