Resistant AI
Comprehensive fraud and financial crime prevention platform that detects document forgery, suspicious transactions, and behavioral anomalies in real-time for financial institutions and enterprises.
InsForge
An agent-native alternative to AWS. Run full-stack apps end to end via CLI and skills
Product Overview
What is Resistant AI?
Resistant AI is an advanced fraud and financial crime prevention platform designed for financial institutions, fintechs, and enterprises. The platform combines three core capabilities: document fraud detection, transaction monitoring, and behavioral analysis. Rather than requiring system replacement, Resistant AI integrates seamlessly with existing risk technology stacks as an overlay solution. The platform has verified over 150 million documents and analyzes transactions at scale, detecting sophisticated fraud typologies including synthetic identity fraud, AI-generated document forgeries, authorized push payment (APP) fraud, and complex money laundering schemes. With 8,000+ fraud and compliance analysts using the platform, Resistant AI delivers 3x more fraud detection, over 90% reduction in manual reviews, and 5x improvement in analyst productivity.
Key Features
Document Fraud Detection
Analyzes documents over 500 different ways to identify tampered, forged, or AI-generated files across any format, language, or country. Verifies authenticity in under 20 seconds without requiring knowledge of the document type.
Transaction Monitoring Integration
Deploys 80+ behavioral detection models to identify advanced fraud and money laundering patterns in under 100 milliseconds. Integrates with existing transaction monitoring systems without replacing current infrastructure.
Explainable AI Models
Provides transparent, understandable detection reasoning through supervised and unsupervised learning techniques. Delivers clear actionable verdicts (High Risk, Warning, Normal, Trusted) rather than opaque risk scores.
Holistic Risk Integration
Connects document, transaction, behavioral, and identity signals for comprehensive fraud prevention. Maps money flow patterns, performs behavioral segmentation, and links related accounts to expose fraud rings.
Document and Language Agnostic
Detects fraud regardless of document format (PDF, image), language, or country of origin. Covers bank statements, tax forms, IDs, invoices, utility bills, and other financial documents without retraining.
Simple API Integration
Deploys with minimal technical overhead through a straightforward 14-line API implementation or drag-and-drop interface for immediate document verification.
Use Cases
- Lending and Underwriting : Detect fraudulent financial documents during loan application processing to reduce credit fraud, manual review time, and approval errors in mortgage, consumer, and commercial lending.
- KYC and Onboarding : Verify authenticity of identity documents, proof of address, and source of wealth documentation during customer due diligence to prevent synthetic identity fraud and improve compliance.
- Transaction Monitoring and AML : Enhance existing anti-money laundering systems to detect novel money laundering behaviors, APP fraud, and structured transaction patterns without replacing current compliance infrastructure.
- Tenant and Background Screening : Identify fraudulent bank statements, employment contracts, and identity proofs submitted during tenant screening to ensure integrity of rental property verification processes.
- Marketplace and Payments : Prevent invoice manipulation and fraudulent document submission in marketplaces and payment platforms to protect investors and reduce operational risk.
- Automated Document Processing : Protect automated workflows and robotic process automation (RPA) from document-based fraud by ensuring only legitimate documents enter downstream business processes.
FAQs
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Analytics of Resistant AI Website
🇺🇸 US: 26.16%
🇸🇬 SG: 17.68%
🇬🇧 GB: 8.58%
🇨🇿 CZ: 4.49%
🇳🇬 NG: 4.38%
Others: 38.7%
