Resistant AI is a cybersecurity firm which specializes in detecting and preventing financial crimes such as document forgery, transaction fraud, and money laundering through AI-powered detection tools. It was founded by former employees of Cognitive Security (now part of Cisco), and has developed machine learning technology that can be layered into existing financial systems to detect both known and unknown threats in real time. The primary focus of the company is on helping protect large financial firms and online marketplaces from sophisticated cybercrime committed using artificial intelligence.
The founders' previous company, Cognitive Security, was acquired by Cisco, and therefore the founders have experience developing machine learning-based cybersecurity solutions.
Resistant AI was founded in Prague by Martin Rehak and his team to develop and apply AI technologies to help prevent financial crimes.
Received significant investment from Experian to support the development of their fraud detection and anti-money laundering products.
Raised $25M in funding with lead investor DTCP; with participation from Experian, GV, and Notion Capital.
Achieved profitability in September, along with 10x year-over-year revenue growth.
Cloud-based scalable systems
Proprietary multi-model machine learning for anomaly detection, document forensics, behavioral analysis, and real-time financial crime prevention
Inferred from product descriptions and cybersecurity background; specific frameworks not publicly detailed
Resistant AI uses more than 500 machine learning-based detectors to analyze documents for tampering, reuse, and AI generated metadata, pixels, font, structure, etc. Resistant AI identifies the type of document, authenticates the document, and provides an explainable decision on the document's authenticity without analyzing its content and preserves user privacy
Documents can come in PDF/image format and Resistant AI analyzes any document from anywhere in the world, including Bank Statements, Utility Bills, ID Cards, Invoices, Paystubs, Tax Forms and Articles of Incorporation. Resistant AI does not need a template for the document being analyzed as it is document-agnostic and does not require prior training for each template
Yes, Resistant AI is both SOC 2 and GDPR compliant. Resistant AI analyzes document construction characteristics and builds without reading/storing content to preserve user privacy. The analysis is based on how the document was built, not what the document contains
Users interact with Resistant AI through the REST API using OAuth 2.0 authentication using client id/secret. Users submit documents to the /v2/submission endpoint and retrieve the result by polling the /submission/{id}/fraud endpoint. A drag-and-drop web interface is available for immediate testing. Resistant AI can be deployed in less than 15 minutes.
All traditional solutions have read and modeled document content and require templates to be effective which risks user privacy. Resistant AI analyzes the build structure of the document (pixels, fonts, metadata), regardless of the content and/or language, and detects sophisticated tampering beyond human detection capabilities and adapts to new types of fraud without re-training.
Yes, it can be found through Google Cloud Marketplace for Document AI workflows and also on Salesforce App Exchange (to support onboarding process that includes KYC document verification). The system has an easy-to-deploy method which does require you to have any manual configurations as well.
There was no mention of a free trial or sandbox that could be used publicly. To get your Client ID/Secret, and URL's specific to your tenant for API access, you will need to obtain an account with ResistantAI. For those interested in evaluating the system they should contact sales for possible evaluation access.
Resistant AI achieves a high level of 99.2 percent accuracy by allowing you to customize the risk-based verdicts. Resistant AI allows for fast deployment via its REST API in approximately fifteen minutes and provides behavioral and device fingerprint enrichment to allow you to achieve thirty percent better fraud detection.
Resistant AI is specifically designed to provide specialized AI-powered document fraud detection that identifies sophisticated tampering, reuse, and AI-generated fakes in documents regardless of language type with privacy-preserving structural analysis. It provides a REST API to enable the rapid integration of fraud filters into KYC/tenant screening workflows, although limited details regarding the public pricing/SLA details are available and would likely need to be obtained from sales.
Resistant AI is most suitable for large enterprises that are seeking to automate high volume document verification workflows and can justify the cost of integrating the Resistant AI API for sophisticated fraud detection.
Resistant AI focuses on providing a privacy-preserving fraud detection system to analyze metadata/structure of a document utilizing over 500 machine learning models for document/languages fraud detection. Resistant AI is available via REST API v2, Google Cloud Marketplace, and Salesforce AppExchange; can integrate with ABBYY Vantage and Document AI; and has been certified SOC 2/GDPR compliant for transparency of decision-making regarding fraud verdicts but does not provide public pricing, SLAs or rate limits.
Good - technical API details from integration guides and docs.resistant.ai; product capabilities from official site and Google Cloud partnership announcements. Pricing, rate limits, and SLAs require sales contact (enterprise-focused).
To streamline your workflow, Resistant AI is now available on Google Cloud Marketplace for easy deployment into Document AI work flows. No manual configuration is required and Resistant AI automatically verifies KYC documents at scale.
The Resistant AI Document Forensics is listed on the Salesforce AppExchange. This will enable you to make a decision based upon how much you trust a document automatically while your workflow is in Salesforce.
There are integration guides available for the ABBYY Vantage document processing platform. The Resistant AI can also support enterprise document workflows that combine Optical Character Recognition (OCR) with fraud detection.
The Resistant AI is specifically designed for tenant screening and will automatically validate income documents. The Resistant AI's architecture complies with GDPR, so it will work with any screening document regardless of whether or not it contains information that can be read from the document.
The Resistant AI provides a REST API that allows you to deploy in 15 minutes into production. In addition to the API, there is a drag-and-drop web interface available for immediately testing alongside API automation.
The Resistant AI identifies fake, tampered with, and AI generated documents regardless of the country where the document originated and regardless of what type of document was used.
The Resistant AI analyzes both the document's metadata, internal layout, background images, image inconsistencies, font styles and other items to determine if the document has been tampered with.
The Resistant AI will detect if an original document was created using Generative AI and will also detect if any portion of the document was created using Deepfake AI technology.
The Resistant AI provides an AI powered solution for conducting continuous Know Your Customer (KYC) monitoring during the entire time a customer is using your product without requiring any additional friction for the customer.
The Resistant AI provides a machine learning framework for identifying new and emerging threats that exist in transactions and user activity.
The Resistant AI uses real-time ensembling of 80+ different machine learning models created by both AI and financial crime experts.
The Resistant AI identifies transactional and user activity anomalies indicative of money laundering.
The Resistant AI detects when a person is attempting to use a stolen identity and/or attempt to gain unauthorized access to another person's account.
The Resistant AI provides actionable verdicts (High Risk, Warning, Normal, Trusted) along with explanations of why they were issued as opposed to providing an opaque risk score.
The Resistant AI combines both documents and transactions, behaviors and identities to provide a complete picture for comprehensive fraud prevention.
The Resistant AI detects documents that have been fabricated and/or created using templates when they are being used in the onboarding process and prevent template farm fraud.
The Resistant AI will detect when a piece of video content is being used in an identity verification process and has been artificially created with generative AI or manipulated in some way.
The Resistant AI is specifically designed to detect when a document has been created using generative AI tools and models.
The Resistant AI monitors the behavior of consumers in order to combat both account takeovers and unauthorized access to their accounts.
Uses a combination of transaction monitoring and behavioral analysis to uncover money laundering trends.
Anomaly detection identifies unknown threats and emerging risks that have never been identified before.
Protects digital communications and digital interaction between customers/clients.
Real time ensemble of machine learning detectors to immediately detect and respond to threats.
Enhances and supports existing risk and compliance systems with no need to replace current systems or entire tech stacks.
Adds layer of AI capability onto an existing risk and compliance system.
Deployment is via API’s to minimize coding requirement for automation.
Allows modular integration with clients best-of-breed technologies into their current ecosystem.
Offers both programmatic API integrations as well as a drag-and-drop user interface.
Supports onboarding, Ongoing Monitoring and Fraud Detection Systems (in addition to other forms).
Enhances all aspects of the customer's experience from onboarding through Ongoing Monitoring.
Works with partner platforms such as Client Fabric Tech and Tungsten Automation.
Provides actionable and clear results for Risk and Compliance teams to make informed decisions to improve performance.
| Use Case Category | Primary Applications | Risk Handling | Regulatory Framework | Support Level |
|---|---|---|---|---|
| Customer Onboarding | Account opening, customer verification, identity proofing | Document fraud, identity forgery, synthetic identities, deepfakes | KYC/AML regulations | Fully Supported |
| Ongoing Monitoring | Customer lifecycle monitoring, continuous due diligence, behavioral tracking | Account takeovers, money laundering, suspicious activity | AML/CFT requirements | Fully Supported |
| Document Verification | Identity document authentication, passport verification, license verification | Forged documents, tampered documents, AI-generated documents | KYC compliance | Fully Supported |
| Financial Crime Prevention | AML compliance, transaction monitoring, fraud detection | Money laundering, account takeovers, unauthorized access | AML/CFT, FinCEN regulations | Fully Supported |
| Risk and Compliance | Risk assessment, compliance management, audit support | Regulatory violations, control gaps, audit findings | Financial services regulations | Fully Supported |
