Feedzai Launches RiskFM, a Tabular Foundation Model to Rewire Financial Crime Prevention

New updates have been reported about Feedzai.

Feedzai has introduced RiskFM, a tabular foundation model built specifically for financial data, positioning the company at the center of an emerging shift in how banks and payment providers detect fraud, money laundering, and broader financial crime. The model is trained on a large, diverse global dataset spanning onboarding, digital interactions, card payments, real-time transfers, and AML workflows, enabling institutions to move away from fragmented, rules-based or bespoke machine learning systems.

By leveraging its role in risk-assessing $9 trillion in payments across 120 billion events annually, Feedzai is using RiskFM to deliver out-of-the-box performance that matches finely tuned supervised models for single clients and surpasses them when trained across multiple institutions and geographies. Early tests point to lower implementation and maintenance costs, faster deployment, and a single AI layer that can scale from mule account detection to AML, which analysts say could materially change how financial institutions structure risk operations and technology spend.

RiskFM’s architecture is designed to compound intelligence as it ingests more data, outperforming traditional gradient boosting and deep learning approaches in internal benchmarks while adapting to the adversarial nature of fraud, where attack patterns and consumer behavior evolve rapidly. Feedzai’s leadership frames this as the payoff from a multi-year investment in foundation models, arguing that the company is not merely applying generic AI to finance but defining a specialized frontier model for transaction and risk data.

The company is currently working with early adopters, including long-standing partner Lloyds Banking Group, to validate and harden the model in production environments before rolling it out more broadly across its product suite. If RiskFM scales as planned, it could deepen Feedzai’s integration with top-tier banks and payment processors, expand wallet share in financial crime platforms, and reinforce its strategic position as a core AI infrastructure provider for global finance.