Resistant AI Documents is a document fraud detection solution that analyzes PDF and image-based documents to identify tampering, forgery, reuse, and AI-generated fabrication. It is trained on over 150 million documents and checks each submission across more than 500 detection methods. The product operates in four sequential stages: quality assessment (readability), document classification (type verification), authenticity analysis (fraud detection), and policy-based decisioning. Each stage completes within 20 seconds per document. Detection coverage includes common editing artifacts, template-farmed or reused documents, and AI-generated documents. The system is document- and language-agnostic, analyzing structural and compositional properties rather than reading document content, which preserves user privacy. Instead of numerical risk scores, the product returns human-readable verdicts (Trusted, Warning, High Risk) accompanied by explainable evidence. Verdict thresholds can be customized to align with an organization's specific risk appetite and compliance policies. Fraud signals can be enriched with behavioral data and device fingerprints to increase detection coverage beyond document analysis alone. The product can be accessed via a drag-and-drop web interface or integrated into automated workflows through an API. Primary use cases include KYB (Know Your Business) compliance, loan underwriting, income verification, and insurance claims processing. It is used by fraud analysts, compliance teams, and identity verification professionals.