Resources
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APAC QR Code Fraud
QR codes have become a common feature in everyday life and commerce. Unfortunately, this same convenience is abused by scammers […]
RiskOps Studio
Mule networks span fraud and AML, scams cross channels, and real-time payments demand real-time decisions, yet most teams are still […]
Feedzai Merchant IQ Signals
Transform risk management into a growth engine by using shared intelligence to protect cardholders from scams and strengthen merchant loyalty. […]
Chartis “Fraud Platforms, 2026” Vendor Spotlight
Chartis has recognized Feedzai as the category leader across Fraud Platforms, Payment Fraud and Enterprise Fraud, placing the strongest in […]
Feedzai IQ Solution Guide
Financial institutions often build fraud defenses based on their own environment: their own customers, their own transaction history, and their […]
Protect Your Customers from Card Fraud
Card fraud remains a major challenge as digital commerce expands attack opportunities. Beyond losses, fragmented data, outdated systems, and false […]
Stop Identity Theft in its Tracks
Identity theft has become easier to execute and harder to detect. Generative AI has given fraudsters the ability to produce […]
PSD3 / PSR – Be Ready Before the Regulation Is
PSD3 and the PSR rewrites the rules of fraud prevention across Europe. And the clock is already ticking. Under these […]
Real-Time Protection Against Malware and RAT Attacks
RAT and malware attacks let fraudsters silently hijack banking sessions, steal credentials, and initiate payments, all while appearing legitimate to […]
The Intelligence to Spot a Scam. The Speed to Stop It.
Traditional fraud signals fail when victims authorize payments themselves. Criminals use emotional manipulation to turn genuine account holders into unwitting […]
Feedzai Named a Winner in Chartis FCC50 2026 Report
Chartis Research named Feedzai a winner in AML Mule Detection in the Chartis Financial Crime and Compliance 50 2026 report. […]
Feedzai RiskFM: The First Tabular Foundation Model for Financial Risk
Large language models are built for the predictable grammar of language, not the evolving world of financial risk. These models […]
Catch Human Trafficking & Scams
The Challenge Global events bring global crowds…and global criminals. As the World Cup 2026 kicks off, financial institutions face a […]
RiskFM Foundation Model for Financial Risk
Financial services face an escalating arms race. Banks often reactively layer tools and data, resulting in disparate systems that offer […]
Fusion Vision: Fraud, Identity, and Security
When fraud, identity, and security teams don’t talk to each other, fraudsters find the gaps. It’s time for a converged […]
Stop Human Trafficking & Scams During the World Cup
Increased labor, travel, and digital activity surrounding the 2026 FIFA World Cup creates an unfortunate “perfect storm” that criminal networks […]
Fraud Detection Benchmarking Report
How does your fraud performance stack up against the best in the industry? Feedzai is publishing the industry’s first data-driven benchmarking report that shows exactly what top-tier fraud prevention looks like and what it takes to get there.
The Future of Device Intelligence
Don’t let “device drift” compromise your customer experience or your fraud detection. It’s time for transparent, actionable insights that scale. […]
Secure Onboarding Maturity Scorecard
Most financial institutions are drowning in risk signals but starving for insights. Don’t let a fragmented onboarding stack be the […]
The Knoble: Human Trafficking & Scam Detection Guide
While fans will soon be cheering on their favorite teams during the World Cup, unfortunately they need to be vigilant […]
Master Real-Time A2A Fraud Prevention
Scams are becoming increasingly sophisticated with criminals exploiting instant payment rails and advanced technology to steal money in seconds. Siloed […]
End-to-end Defense Against Mule Networks
Money mules are critical actors in financial crime, laundering stolen funds through legitimate accounts. These risks often begin at onboarding […]
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Page printed in August 20, 2026. Please see https://www.feedzai.com/resources for the latest version.