AML Platforms ‘Are Just Not Working’—Is Human Error or Tech the Culprit?

Technologies meant to detect and stop financial crime may add more headaches than they relieve. Others say that the best tech can't overcome how bankers use these tools. The AML dilemma likely falls somewhere in the middle.

money in briefcase

Despite the introduction of machine learning, natural language processing, and the burgeoning field of regtech tools to help firms fight financial crime, banks are still falling victim to—and perpetuating—money laundering, a de facto economy in its own right that amounts to an estimated $800 billion to $2 trillion globally, according to statistics by the United Nations’ Office on Drugs and Crime.

Legal experts and some vendors of these technologies attribute this to a disjointed approach to

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: