Resistant AI, a provider of AI-powered document fraud detection and transaction monitoring software, has secured a strategic investment from Experian, a global leader in information services.
The investment from Experian aims to enhance its fraud and financial crime prevention capabilities by integrating Resistant AI’s advanced modelling and anomaly detection tools. Financial details of the transaction have not been disclosed.
Resistant AI specialises in using artificial intelligence to safeguard financial systems from a growing range of threats, including fraud, money laundering, and identity-based attacks. Its real-time models are designed to integrate with existing infrastructures, helping firms identify and respond to criminal behaviours without disrupting operations.
The new collaboration will see the launch of a purpose-built solution targeting Authorised Push Payment (APP) fraud, a crime that accounts for nearly half of all fraud cases facing UK businesses, according to Experian’s recent Fraud and FinCrime report. The new tool will combine Experian’s vast data and technology with Resistant AI’s real-time detection models to help banks and payment providers stop suspicious transactions before they’re completed.
One of the major challenges in tackling APP fraud is the difficulty of identifying counterparties during real-time cross-bank transfers due to strict data-sharing and privacy regulations. The new solution promises to fill this gap by detecting both known and emerging fraud tactics without requiring institutions to undertake costly system overhauls.
Experian managing director of credit and verification services UK&I David Bates said, “The landscape and sophistication of financial crime has evolved, and it is imperative for financial institutions to leverage advanced technologies that enhance their visibility and responsiveness.”
Resistant AI CEO Martin Rehak emphasised, “Financial criminals are increasingly using AI techniques to innovate and scale successful attacks to a large number of victims. Simultaneously, the boundaries between fraud and AML are disappearing; APP fraud can morph into money laundering in under 5 seconds. This makes traditional rule-based engines with manual analysis rapidly obsolete – the use of AI in financial crime prevention stacks is no longer optional. Our joint offering combines broad data with the best engines to deliver highly accurate, real-time prevention.”
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