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Feedzai IQ Score

Fraud doesn’t respect boundaries. So why are most defenses built as if it does? Financial institutions relying solely on their […]

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.

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AML Transaction Monitoring

Increasing regulatory pressures and public scrutiny are forcing FIs to reform their technology. Illicit activities routinely evade detection as outdated […]

Decoding Account Takeover Fraud’s DNA

Learn how to protect your customers from account takeover. Account takeover (ATO) fraud is one of the most troublesome threats […]

Transaction Fraud for Scams

Scams are designed to trick victims into revealing personal information (e.g. a social security number or credit card numbers) or […]

Malware Analysis: Nexus

Protect Customers and Android Devices Against Nexus Malware Nexus malware is an Android banking trojan promoted as a malware-as-a-service (MaaS) […]

The Human Impact of Fraud and Financial Crime on Customer Trust in Banks

How Fraud and Financial Crime Affects Customer Trust in Banks: Insights from 4,000 Banking Customers Trust is essential to building […]

Top 3 Must-Haves for Your Bank’s AML Program for 2023

Are you concerned about the threat of financial criminals who have seemingly limitless resources to launder money? For financial institutions, […]

2023 SPARK Matrix Report Names Feedzai an AML Leader

Advancements in digital transformation and payment technologies are only making it easier for financial criminals to launder money and conceal […]

Malware Analysis: SharkBot

The latest versions of the SharkBot banking trojan family are capable of a wide range of malicious activities. This includes […]

Risk & Reputation: Who Ultimately Pays for Scam Losses?

The rise of authorized push payment (APP) fraud has forced UK regulators to demand banks reimburse scam victims. Will US […]
Rules-vs.-Models-in-Anti-Money

Machine Learning Rules vs. Models in Anti-Money Laundering Platforms

The value of money laundered globally each year is estimated to be 2-5% of global GDP. That falls between $800 […]

Feedzai is a Quadrant 2022 SPARK Matrix Leader in Behavioral Biometrics

Feedzai is recognized as a behavioral biometrics technology leader by Quadrant Knowledge Solutions’ SPARK Matrix™ report. Behavioral biometric technology plays […]

The State of Global Anti-Money Laundering Compliance Report

The State of Global Anti-Money Laundering Compliance Report The State of Global Anti-Money Laundering Compliance Report is based on over […]

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