Resistant AI Raises $25 Million to Protect Fintechs and AI Systems from Financial Crime

Prague-based Resistant AI has raised $25 million in Series B funding to strengthen its tools for detecting and preventing financial crime. The company, which applies artificial intelligence to protect digital finance and automated systems, plans to use the funding to expand its product range and scale internationally.

Resistant AI develops machine learning models that help financial institutions and fintech companies identify and block fraud, forged documents, synthetic identities, and money laundering attempts.

Its technology is built to integrate into existing risk and compliance frameworks, enhancing rather than replacing current systems. The platform analyses transactions, onboarding documents, and behavioural patterns to detect subtle forms of manipulation that might escape traditional rule-based systems.

The company’s software is increasingly relevant as automation and AI agents become embedded in financial services. Resistant AI argues that these systems, while efficient, also create new vulnerabilities that criminals can exploit. Its tools are designed to counter these threats by continuously learning from emerging fraud patterns and adapting to evolving attack techniques.

Founded in 2019 by a team of engineers and data scientists with backgrounds in cybersecurity and AI, Resistant AI now serves clients across banking, fintech, and payments. Its customers use the technology for use cases ranging from digital identity verification to anti-money laundering compliance.

Sources:
Tech.eu
Silicon Canals
Tech Funding News

J.V.