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The Future of Fraud Prevention: Predictions for 2026

Explore expert predictions on the future of fraud prevention in 2026 and how financial institutions can stay ahead. Download the report.

Turn AML Compliance 
into Competitive Advantage with AI

For years, AML programs were built to satisfy regulators by completing
a checklist of expectations. Today, it’s not enough to check a box. Regulators now expect proof that AML controls work as expected. Learn how to modernize your AML program with AI today.

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37% Improvement in Fraud Detection Rates

The Challenge: Future-proof fraud prevention across channels The banking industry has seen rapid technological advancements, creating more opportunities for fraudsters […]

How Scams Destroy Customer Trust and Erode Bank Revenues

Scams are a growing threat, globally. Most countries are seeing a significant increase in victims of authorized fraud, and the […]

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 Illicit activities routinely evade detection as outdated […]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 […]

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