Resistant AI

What Resistant AI does

Resistant AI provides AI-powered fraud detection systems for documents and transactions, helping organizations protect against financial crime. The company's solutions analyze documents for authenticity and detect sophisticated fraud typologies, including tampered, reused, and AI-generated documents. For transactions, it offers an AI overlay for existing monitoring systems to identify novel fraud and money laundering behaviors. Resistant AI aims to reduce manual reviews, speed up fraud checks, and improve accuracy in fraud detection across various financial processes.

Products

• Resistant DocumentsAI-powered document fraud detection software that checks any document from any country for fraud and authenticity in seconds. It detects fake, tampered, or AI-generated documents, working on PDFs and images, and is language and document agnostic. It provides explainable risk verdicts and can be integrated via API or used with a drag-and-drop web interface.
• Resistant TransactionsAn AI overlay for existing transaction monitoring systems designed to catch more novel fraud and money laundering behaviors. It offers 80+ off-the-shelf models, real-time fraud prevention, advanced AML detections, and alert prioritization. It uses anomaly detection, graph-based techniques, behavioral segmentation, and model self-tuning.

Key capabilities

• AI-powered document fraud detection
• Detection of fake, tampered, and AI-generated documents
• Analysis of over 500 indicators of fraud in documents
• Document and language-agnostic analysis
• Explainable verdicts (Trusted, Warning, High Risk) with evidence
• Customizable decisioning based on risk appetite
• Integration with existing workflows via API or drag-and-drop UI
• AI overlay for existing transaction monitoring systems
• 80+ off-the-shelf AI models for transaction monitoring
• Real-time fraud prevention for transactions
• Advanced AML detections
• Alert prioritization for fraud and compliance analysts
• Anomaly detection using AI/ML techniques
• Graph-based techniques for money flow patterns
• Behavioral segmentation for accurate detection
• Model self-tuning with analyst feedback
• Threat propagation for connected accounts
• Supervised classifiers trained on transactional data
• Scenario-specific models for known fraud types
• Identity clustering to expose fraud rings
• Contextual risk scoring
• Enrichment of detections with behavioral data and device fingerprints
• GDPR compliant (for Resistant Documents, by not processing content/sensitive data)

Use cases

• Digital lending / Loan underwriting
• Customer onboarding (KYC)
• Merchant onboarding (KYB)
• Tenant screening
• Pre-employment background checks
• Insurance claims processing
• AML compliance
• APP Fraud detection
• BNPL fraud detection
• Transaction monitoring
• Mortgage automation
• Cross-border payments
• Financial crime prevention
• Identity verification
• Invoice manipulation prevention

AI approach

Resistant AI builds AI to detect fraud and financial crime, focusing on document fraud detection and transaction monitoring. Their AI models are designed to identify sophisticated fraud typologies, including tampered, reused, and AI-generated documents, as well as complex money laundering schemes and behavioral anomalies in transactions. They emphasize explainable AI and continuous learning from analyst feedback.

Tech named: Machine Learning, Artificial Intelligence, AI-powered document verification, AI-generated documents detection, AI-powered fraud checks, AI and fincrime experts, AI engine, supervised models, unsupervised models, anomaly detection, Graph-based techniques, Behavioral segmentation, Unexpected distributions, Transaction sequencing, Model self-tuning, Threat propagation, Supervised classifiers, Scenario-specific models, Identity clustering, Contextual risk scoring

Industries served

• Financial Services
• Lending
• Mortgage
• Insurance
• Payments
• Property Rental

What it says sets it apart

• Detects fraud your eyes can't see, including AI-generated documents
• Analyzes documents based on how they are built, not what they say, ensuring privacy
• Provides explainable verdicts instead of just risk scores
• Customizable decisioning to match risk appetite and business goals
• Integrates as an overlay to existing tech stacks without requiring replacement
• Offers 80+ off-the-shelf models for transaction monitoring, deployable in days
• Rooted in cybersecurity with 20+ years of experience building AI/ML to fight crime
• Founding team includes 9 PhDs and holds 120+ AI/ML patents
• Focus on layered systems and continuous adaptation to criminal tactics
• High accuracy in document verdicts (99%) and fraud detection (3x more fraud detected)
• Significant reduction in manual reviews (90%) and faster processing times (<20 seconds per document)

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.