Detect deepfake documents

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.

Deepfake documents are AI-generated or AI-altered financial documents designed to look indistinguishable from legitimate ones. Fraudsters use generative AI to replicate formatting, logos, transaction patterns, and metadata, making these fakes difficult for human reviewers and traditional fraud tools to catch.

Inscribe uses agentic AI trained specifically for document fraud detection. Our AI Agents analyze formatting, structure, metadata, content consistency, and contextual signals within and across documents. By combining machine learning, domain expertise, and layered detection techniques, Inscribe identifies hidden inconsistencies that indicate forgery or AI generation — often in seconds.

Manual document review is slow, inconsistent, and difficult to scale as fraud tactics evolve. Inscribe automates document analysis in real time, reducing review time while increasing accuracy. Risk teams get clear, actionable insights instead of spending hours on repetitive checks, allowing them to focus on complex or high-risk cases.

Legacy fraud tools rely heavily on static rules and basic checks that struggle to detect modern, AI-driven fraud. Inscribe continuously adapts to new fraud patterns by analyzing millions of applications and learning from real-world outcomes. This allows Inscribe to detect emerging fraud tactics that legacy systems and point solutions often miss.

Inscribe analyzes a wide range of financial and business documents, including bank statements, pay stubs, tax forms, invoices, balance sheets, profit and loss statements, and more. Our AI Agents validate both individual documents and the relationships between them to uncover inconsistencies across an application.

Inscribe is trusted by banks, lenders, credit unions, and fintech companies that need to stop document fraud during onboarding, underwriting, and ongoing monitoring. Risk, fraud, and compliance teams use Inscribe to make faster, more confident decisions without increasing friction for legitimate customers.

Inscribe delivers fraud detection results in seconds. This enables real-time decisioning for onboarding and underwriting workflows, helping teams stop fraud without slowing down approvals or increasing customer drop-off.

Yes. Inscribe’s AI Agents focus on meaningful risk signals rather than surface-level anomalies, which helps reduce false positives. By providing contextual explanations and confidence scores, Inscribe enables analysts to quickly understand why a document is flagged and make informed decisions.

Yes. Inscribe’s AI is built and trained by data scientists and fraud experts with deep domain knowledge. Our system surfaces clear signals and reasoning behind detections, helping teams trust the results and meet internal and regulatory expectations.

By automating document review and surfacing only what matters, Inscribe significantly reduces manual review time, shortens application processing, and removes operational bottlenecks. Customers regularly see faster approvals, fewer reviews per application, and millions in prevented fraud losses.

Any organization that relies on customer-submitted financial documents — especially during onboarding, underwriting, or risk assessments — should use document fraud detection software. This is especially critical today, as AI-generated document fraud continues to rise and outpace manual review capabilities.