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Industry-leading insights into the latest trends in fraud, scams, financial crime, technology, and more.

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From a Family Photo to the Digital Euro Protector

Twenty years ago, when I was working at the European Space Agency and living in Darmstadt, near Frankfurt, my family ...

Nuno Sebastiao, co-founder and CEO of Feedzai, a leader in financial fraud prevention through machine learning technology. Nuno Sebastiao
3 minutes • RiskOps

Illustration of digital currency, for Feedzai digital currency blog

What Is Digital Currency? Types, Risks, and How to Protect Yourself

Payment methods have seen an impressive evolution over the years. We have moved from coins to cash to cards, and now to crypto and central bank digital currencies. Juniper Research projects that the value of global digital currency transactions will reach $213 billion by 2030, up from $100 million in 2023.

Bob van Heumen
7 minutes • RiskOps

Collections

AI & Technology

Artificial intelligence (AI) and machine learning are no longer theoretical ideas. Today’s banks need them to operate efficiently. Learn the best practices to implement AI and machine learning.

44 Articles • Collection

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AML

Roughly $2T in illegal activities are laundered by criminals each year. Learn how global anti-money laundering (AML) efforts have shifted and what FIs can do to comply with shifting regulations.

17 Articles • Collection

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Fraud & Scams

Banks face pressure to deliver seamless user experiences for their customers and stop fraudsters cold. Learn more about how banks can manage risk more effectively in the digital banking age.

89 Articles • Collection

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Latest

Illustration of data points being analyzed on a dashboard, demonstrating how a fraud score is created.

What Is a Fraud Score and Why Does It Matter?

A fraud score acts as a bouncer at the door of a hip business. It’s the silent, super-smart guard that quickly decides who to welcome in and who to turn away. It’s there to ensure that everyone who belongs inside can do so smoothly, while keeping unwelcome guests out. As digital transaction volumes rise, the market for global fraud detection and prevention solutions is projected to grow to $226 billion in value by 2033, according to Market.us.1

Anusha Parisutham, Senior Director of Product at Feedzai, focuses on enhancing financial crime detection and risk operations through scalable platform and AI solutions. Anusha Parisutham
9 minutes • Fraud & Scams

Illustration of hand holding phone depicting device intelligence

What is Device Intelligence & How Does it Work?

A single device can tell you everything: who’s behind the screen, what their intent is, and whether you should trust them or block them. That’s the promise of device intelligence, and the reality of remote access scams, device farms, and sophisticated emulators, means it’s no longer optional. Device intelligence is critical today.

Stuart Dobbie
9 minutes • Fraud & Scams

Understanding Social Engineering Fraud: From Psychological Traps to AI‑Driven Fraud

Social engineering scams may start with a phone call from someone impersonating a loved one, claiming to need your help. Or it might be an urgent email that appears to be from your boss. Or a text message from a government agency warning you about a hefty fine you didn’t expect. According to a 2023 report from the Federal Trade Commission, these scams have already cost US consumers $12.5 billion in losses.

Dan Holmes
10 minutes • Fraud & Scams

Illustration of a bank with long shadow pointing; for article on enterprise fraud management for banks

What is Enterprise Fraud Management (EFM): Strategies and Emerging Trends

If you want to secure your house from intruders, your first move would be to lock your door, right? It’s a smart first step. But determined criminals aren’t easily deterred.

Andy Renshaw
10 minutes • Fraud & Scams

Illustration of criminal's head being assembled by multiple blocks. Demonstrating how GenAI can be used for fraud.

GenAI Fraud: What It Is, How It Works, and How to Stop It

GenerativeAI (GenAI) isn’t a buzzword. In just a few short years, it has transformed from a radical new concept to a widely used practice across multiple businesses and industries, including financial services. Unfortunately, criminals are among the adopters adding GenAI techniques into their methods. Losses from GenAI fraud could reach $40 billion by 2027, according to projections by Deloitte.1