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Resistant AI s.r.o. (Prague, CZ)Resistant AI
Resistant AI checks documents such as payslips, bank statements and identity documents for forgery, tampering and AI generation. A second product adds an AI layer over your existing transaction monitoring to detect fraud and money laundering.

- Provider based in the EU
Last checked: 30 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Resistant Documents: document fraud
AI-generated document detection
Analysis of PDFs and images
Web interface (drag-and-drop) and APIComparable in banks & fintech
Signicaton request
IDnowon request
PascalFree €0 (50 searches/month)
Klippa (Doxis AI.dp)€25 free credit
Fourthlineon request
Salvon requestResistant AI compared
not public. SOC 2; according to the privacy policy, data may be processed outside the EU/EEA: ask about data location and sign a data processing agreement. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about Resistant AI
- Which AI model does Resistant AI use?
- The maker of Resistant AI does not publish which AI model sits underneath. SOC 2; according to the privacy policy, data may be processed outside the EU/EEA: ask about data location and conclude a data processing agreement.
- How much does Resistant AI cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Resistant AI for?
- Resistant AI focuses on banking & fintech. It fits work such as identifying and verifying customers during onboarding (KYC/KYB, document checks, liveness), monitoring transactions for money laundering and terrorist financing and reducing false alerts, and screening customers and payments against sanctions lists, PEPs and adverse media.
- What should I watch out for with AI in banks & fintech?
- You process identity documents, biometrics and transaction data: choose providers with EU data location, ISO 27001 and a data processing agreement, and ask whether customer data is used to train the provider's models. Outsourcing critical processes falls under the DORA and EBA rules, so secure exit and audit rights in writing. Creditworthiness assessment of natural persons is a high-risk application under the EU AI Act. For transaction monitoring, the supervisor expects you to explain why an alert is or isn't triggered, a human to decide on a report to the FIU, and that you test the model for unequal treatment of customer groups.
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