Anti-money Laundering

Criminals don’t play by the rules and often embrace new technology to exploit gaps in control environments. That’s why they’re able to reap massive profits from fraud and money laundering operations. In their efforts to thwart money laundering and other criminal activities, many financial institutions (FIs) will find their anti-money laundering (AML) programmatic capabilities limited by antiquated legacy systems, many of which are solely rules-based. It’s time for banks and other financial services providers to upgrade their AML programs and embrace machine learning models to augment their existing rules-based approach.

What could your firm do with over $2.9 billion? That’s the total amount of fines global regulators imposed on financial institutions in 2018 for non-compliance of anti-money laundering regulations. Learn 5 steps to avoid AML fines and increased regulatory scrutiny.

The latest figures from the United Nations’ Office on Drugs and Crime paint a stark picture of global anti-money laundering (AML) efforts. On the low end, the estimated value of money laundered in just one year is close to $800 billion.

In this post, we share the why and how of developing a culture of compliance around anti-money laundering efforts boosts growth for banks.  

With twenty-four hours notice, Feedzai transitioned into a 100% remote company. This post focuses on how we did it, lessons learned, and tips for making remote work successful.

Fraudsters have been busy. During this crisis phase of the Coronavirus pandemic, they’ve launched an avalanche of attacks. Perhaps more importantly, they’re poised to commit even greater fraud once governments start easing lockdowns and consumers start shopping again. Fraudsters are plotting future attacks, PSPs should

Fraud Scam Predictions and How to Combat Them is the first post in a special five-part blog series aimed at helping banks, acquirers, and merchants navigate risk during the COVID-19 crisis. For more information on how to fight fraud during the pandemic, check out How to

Why are some banks losing customers rather than gaining them? We investigate how tailored workflows, which are powered by machine learning, help account opening capabilities reduce friction for applicants and drive growth for banks.