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AI Document Fraud Detection for Banks, Credit Unions & Lenders
Inscribe is AI-powered document fraud detection software for banks, credit unions, and lenders. It detects forged, fabricated, and AI-generated financial documents (including deepfake bank statements, manipulated pay stubs, and synthetic tax forms) in seconds, giving risk teams the clarity they need to stop fraud without slowing approvals. Inscribe created the document fraud detection category and has been purpose-built for financial institutions since 2017. Our agentic AI is trained on millions of real-world applications and strengthened by in-house data scientists and fraud experts. According to Inscribe's 2026 State of Document Fraud Report, 1 in 16 documents show signs of fraud — with AI-generated document fraud growing 5x from April to December 2025. Customers include BCU ($5.6M in prevented fraud losses), Logix Federal Credit Union ($3M in losses prevented in 8 months), and Ramp (30-minute reduction in application processing). Inscribe is SOC 2 Type II and ISO 27001 certified, and is backed by Threshold Ventures, Uncork Capital, Y Combinator, Crosslink Capital, and Foundry.
Inscribe provides AI-driven document fraud detection for financial services, helping banks, credit unions, lenders, and fintechs identify forged and AI-generated documents. It emphasizes real-time detection, cross-document context, and automation to speed up onboarding and underwriting while reducing losses.
Inscribe uses agentic AI, trained on millions of applications and enhanced by in-house risk experts, to analyze documents for formatting, structure, metadata, content consistency, and contextual clues. It connects signals across documents, cross-references with public data, and surfaces actionable insights in seconds to support faster, more accurate onboarding and underwriting decisions. The platform automates repetitive review tasks and provides a composite view of applicant risk based on document relationships and derived patterns.
Who it’s for: Banks, credit unions, lenders, and fintechs seeking to detect and prevent document fraud in onboarding and underwriting processes.
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