• Fincrime prevention company Feedzai has launched its Feedzai IQ Score, an AI-native, network-derived fraud risk solution for banks of all sizes.
• The new offering provides banks and other financial institutions with real-time access to anonymized, aggregated insights from the company’s global transaction network.
• A Finovate alum since 2014, Feedzai’s fraud prevention technology processes 120 billion events annually and secures $9 trillion in payments every year.

Financial crime prevention specialist Feedzai announced the availability of Feedzai IQ Score. The new offering is an AI-native network-derived fraud risk scoring solution for banks large and small. Delivered via a single API and available on the AWS Marketplace, Feedzai IQ Score provides banks with real-time access to anonymized, aggregated insights from the company’s $9 trillion global transaction network.

“Fraud has outpaced what any single institution can stop alone,” Feedzai Chief Product Officer Pedro Barata said. “Feedzai IQ Score puts an end to isolated defense by giving banks access to collective insights from across our entire network. Today, we open up this product to institutions of all sizes who now have a ready-made way to make smarter fraud decisions and modernize their defenses without the disruption of fully overhauling infrastructure.”

Feedzai IQ Score helps financial institutions deal with a paradox in the field of fraud prevention in which the data used to prevent fraud is typically restricted to internal sources. The growing sophistication of financial criminals has made this limited view of data untenable. Additionally, network-based fraud risk scoring can be a boon for regional and middle-sized financial institutions that may not have the internal data volume or resources to build sophisticated fraud models independently. Feedzai IQ Score enables these institutions to access anonymized, network-level intelligence, while keeping customer data secure. Feedzai noted that its new offering delivers proven detection gains with 4x more fraud detected and 50% fewer alerts compared to traditional rules-based strategies.

There is no historical data requirement for banks in order to use Feedzai IQ Score, nor is there a lengthy model training process or heavy operational lift. Via expert AI models that have been trained and validated across Feedzai’s network, banks and other institutions can move from integration to value realization in days.

“Network fraud intelligence sharing is becoming increasingly important in the monitoring of fragmented fraud signals within the financial ecosystem,” Chartis Senior Research Principal Philip Mackenzie said. “We considered this capability to be a key differentiator of Feedzai’s IQ Score solution, which combines real-time cross-institutional fraud insights and collective intelligence across a range of financial institutions.”

Founded in 2008, Feedzai made its Finovate debut at FinovateEurope 2014. Today, the San Mateo, California-based company leverages trusted AI to defend consumers and transactions against financial crime, fraud, and money laundering in real time. Feedzai’s technology processes 120 billion events annually and secures $9 trillion in payments every year. The company’s Tier 1 bank clients have reported detecting 62% more fraud with Feedzai compared to their previous solution, 73% fewer false positives, and 25% faster model development. Co-founder Nuno Sebastião is Feedzai’s CEO and Chairman.

• Financial crime and fraud prevention specialist Feedzai unveiled its RiskFM (Risk Foundational Model) solution this week.
• RiskFM covers a broad range of financial data to provide risk decisioning across fraud detection, anti-money laundering, and other financial crime.
• Headquartered in New York and founded in 2008, Feedzai made its Finovate debut at FinovateEurope 2014 in London.

Financial crime prevention innovator Feedzai introduced its RiskFM (Risk Foundational Model) solution this week. The new offering leverages a Tabular Foundation Model that is purpose-built for financial data and risk decisioning, changing the way that financial crime is detected and prevented.

Spanning across fraud detection, anti-money laundering (AML), and other financial crime-related risk decisions, RiskFM is trained on a broad, deep, global dataset covering onboarding, digital activity, payments, fund transfers, and AML workflows to enable institutions to identify, prevent, and adapt to financial crime quickly and accurately.

The solution is designed to handle some of the special challenges of dealing with transactional data. In their statement announcing the new offering, Feedzai compared this challenge with large language models (LLMs) and their ability to deal with domains such as language, audio, and video. These domains, the company noted, all have finite grammar and a certain linear causality. By contrast, financial transactions are far less predictive, in large part because the consumer behavior behind these transactions, from payment types to fraud modalities, can and does change—frequently.

“Next transactions are far less predictable than the next word in a sentence,” Feedzai Chief Science Officer Pedro Bizarro said. “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.”

The ability to operate across multiple institutions and geographies at the same time is one key feature of RiskFM, and when used to power a customized model for a single customer, RiskFM matches the performance of high-tuned, supervised models while avoiding time-consuming, manual feature engineering. RiskFM outperformed traditional models based on Gradient Boosting and Deep Learning strategies, and is built for the full range of financial crime prevention, from mule account detection to anti-money laundering. The company refers to the technology as the “foundational AI layer for financial risk,” ensuring institutions have an intelligent, scalable solution that grows as they do.

“RiskFM proves our multi-year investment in foundation models is paying off,” Feedzai Chief Product Officer Pedro Barata said. “We’re not just part of the conversation; we’re defining how it applies to the complexities of global financial crime prevention.”

Feedzai made its Finovate debut at FinovateEurope 2014. Headquartered in New York and founded in 2008, Feedzai today offers an AI-native financial crime prevention platform that helps banks, payment networks, acquirers, and other financial services providers detect and prevent financial crime, fraud, and money laundering in real time. The company’s platform serves more than one billion consumers, processes 90 billion events, and secures $9 trillion in payment volume annually.

In the wake of its RiskFM announcement, the company since reported that it has been named to Fast Company’s World’s Most Innovative Companies 2026 roster. “We at Feedzai are honored by this prestigious recognition of our innovation and research in trusted AI to build a world of safer money,” Feedzai Co-Founder and CEO Nuno Sebastiao said.

Photo by Tima Miroshnichenko

• Feedzai and Matrix USA are launching a Center of Excellence to deliver a standardized, repeatable approach to help financial institutions deploy fraud and AML solutions.
• The partnership addresses the growing AI-driven fraud threat, as more than 50% of fraudsters now use AI.
• By combining AI-native technology with deep implementation expertise, the companies aim to help banks modernize fraud and AML programs at speed and scale without disrupting day-to-day operations.

Risk management solutions provider Feedzai is teaming up with advisory and technology services company Matrix USA to help financial institutions fight the rising threats of fraud and money laundering.

The two companies are collaborating on a Center of Excellence that will create a standardized approach to deploying fraud and anti-money laundering (AML) solutions.

Highlighting the need for fraud prevention strategies that can keep pace with increasingly sophisticated threats, Feedzai Co-Founder and CEO Nuno Sebastião said AI has permanently reshaped the financial crime landscape. “AI has changed the fraud landscape forever, and financial institutions need solutions that can evolve just as quickly. That requires advanced technology with the right expertise to put it to work effectively. Together, Feedzai and Matrix USA will help financial institutions translate powerful capabilities into real-world impact against sophisticated, AI-enabled financial crime.”

Feedzai was founded in 2011 as a risk operations platform specializing in identity verification, fraud prevention, and financial crime detection. The company’s AI-powered solutions span KYC, AML, watchlist screening, and transaction fraud monitoring to help financial institutions stop fraud in real time without compromising the customer experience. Today, Feedzai protects over one billion consumers in more than 190 countries and safeguards over $8 billion in transactions annually.

Founded in 2006, Matrix USA provides advisory services to help financial institutions prevent financial crime and stay compliant when leveraging agentic AI, AI and LLM, automation, and model validation tools. The New Jersey-based company operates in more than 20 countries and has implemented more than 1,000 projects.

With new advancements in AI becoming more accessible than ever, the partnership comes at a key time. According to research from Feedzai, more than 50% of fraudsters now use AI. When paired with banks’ outdated infrastructure, the enabling technology is widening the gap between increasingly sophisticated financial crime and the tools institutions have used for decades.

Regarding the pressure banks face as they modernize legacy systems, Matrix USA CEO Lior Blik said financial institutions must strengthen fraud and AML defenses without slowing business operations. “Financial institutions are under tremendous pressure to modernize their fraud and AML defenses without slowing down business. By pairing Feedzai’s industry-leading AI capabilities with our deployment and integration expertise, we’re giving customers a faster, more reliable path to advanced prevention and stronger compliance.”

By combining Feedzai’s AI-native financial crime prevention technology with Matrix USA’s implementation and advisory expertise, the two companies aim to deliver a structured, repeatable approach that helps financial institutions fight fraud and money laundering at speed and scale without disrupting day-to-day operations.

Photo by Tara Winstead