Feedzai Unveils RiskFM AI Foundation Model for Financial Crime Prevention

New AI-powered platform aims to detect, prevent, and adapt to fraud and scams with unprecedented speed and precision.

Mar. 24, 2026 at 10:37am

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Feedzai, a global leader in AI-native financial crime prevention, has unveiled RiskFM (Risk Foundation Model), the industry's first Tabular Foundation Model purpose-built for financial data and risk decisioning. RiskFM marks a fundamental shift in how financial crime is detected and prevented, enabling financial institutions to detect, prevent, and adapt to fraud, scams, and money laundering with unprecedented speed and precision.

Why it matters

For decades, financial institutions have relied on rules and manually-engineered machine learning models to combat financial crime. RiskFM represents a breakthrough, as a purpose-built frontier model that spans fraud detection, anti-money laundering (AML), and broader risk decisions across the entire financial crime lifecycle. Unlike current industry attempts limited to card network data, RiskFM is trained on a uniquely broad, deep, global dataset, giving institutions a powerful new tool to stay ahead of evolving financial crime threats.

The details

RiskFM is designed to overcome the unique challenges of predicting financial transactions, which are far less predictable than language or visual patterns. Feedzai is uniquely positioned to develop RiskFM, as the company annually risk-assesses $9 trillion in payments across 120 billion events worldwide that span the entire financial risk lifecycle. RiskFM has already shown it can match the performance of bespoke supervised models even with data from a single customer, and it surpasses them when trained with data from several institutions and geographies.

  • RiskFM was unveiled on March 24, 2026.

The players

Feedzai

A global leader in AI-native financial crime prevention.

Pedro Bizarro

Chief science officer at Feedzai.

Sam Abadir

Research director, risk, financial crime, and compliance for IDC.

Pedro Barata

Chief product officer at Feedzai.

Tom Martin

Lloyds Banking Group Business Platform Lead, Economic Crime Prevention.

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What they’re saying

“Next transactions are far less predictable than the next word in a sentence. Consumer spending habits, payment types, and fraud modes change continuously. More importantly, financial risk is an adversarial domain; fraudsters actively adapt to evade detection in real-time.”

— Pedro Bizarro, Chief science officer at Feedzai

“Foundation models have reshaped language, vision, and audio, but financial crime has remained stubbornly resistant to that wave. Feedzai's RiskFM is a credible attempt to close that gap. The ability to match bespoke supervised models out of the box, without manual feature engineering, has real implications for how institutions think about deployment speed, cost, and coverage across the full financial crime lifecycle, from card fraud to AML. The early performance data is worth watching, as is how the model holds up as it expands into more complex use cases.”

— Sam Abadir, Research director, risk, financial crime, and compliance for IDC

“Our vision is coming true: this is not just another Large Tabular Model for a single data type. We've developed a foundation model for financial data that covers multiple use cases — from cards to real-time payments — and geographies, delivering strong performance from Day One at global scale. RiskFM proves our multi-year investment in foundation models is paying off. We're not just part of the conversation; we're defining how it applies to the complexities of global financial crime prevention.”

— Pedro Barata, Chief product officer at Feedzai

“Lloyds Banking Group works collaboratively across the industry to protect consumers from financial crime. We've been collaborating with Feedzai for years on AI innovation to give fraud fighters the upper hand against criminals, and RiskFM is an exciting milestone in that journey.”

— Tom Martin, Lloyds Banking Group Business Platform Lead, Economic Crime Prevention

The takeaway

RiskFM represents a significant breakthrough in the fight against financial crime, providing financial institutions with a powerful AI-powered platform to detect, prevent, and adapt to fraud, scams, and money laundering with unprecedented speed and precision. By leveraging a uniquely broad and deep dataset, RiskFM overcomes the challenges of predicting financial transactions and delivers performance that matches or exceeds highly-tuned supervised models, while offering the benefits of faster deployment, lower costs, and broader coverage across the financial crime lifecycle.