
Find the mule before the money transfers
Mule Account Detection enables fraud and AML teams to proactively defend against losses and gain exceptional efficiencies in investigative processes.

Prevent money laundering before the damage is done
Mule accounts are a mechanism to cash out fraudulent transactions, launder money, and support criminal operations. The money mules operating these accounts come in many forms, each with different goals, behaviors, and varying levels of malicious intent. This creates a challenge for standard fraud, AML, and transaction monitoring solutions. According to a Forrester report on EFM and AML, key stakeholders have reported a drastic increase in global investigation time year over year. This has led to increased operational costs to investigate, report, and shutter money laundering accounts.
BioCatch’s Mule Account Detection uses behavior intelligence to reveal these unique personas and detect money laundering activity from new, established, and compromised accounts.
Learn how Mule Account Detection can identify money laundering schemes and stop financial crime.

Stop the money mule. Stop the money laundering.
Stopping mule accounts from moving money through and out of the financial networks can prevent the most nefarious financial crimes. Learn how the BioCatch Connect Platform empowers mule account detection using the most advanced proprietary technology, and expertise in the industry.


Money mules on the rise
~ 2 Million
bad accounts were identified and reported by BioCatch customers in 2024.
90 %+
Percentage of money mule transactions directly linked to cybercrime.
£ 10 billion+
of illegal money is laundered each year in the UK.
33 %
Percentage of financial institutions that cite a lack of resources to control mule activity.
How BioCatch detects mule accounts
Mule Account Detection is optimized to identify money laundering accounts by analyzing thousands of features during online banking sessions. The solution can adapt and react in real time based on the fraudster's behavior. Below are a few of the behavioral sectors our machine learning models observe.

High Data familiarity
The solution analyzes login activity as many mule accounts are often genuine account holders, therefore the data will be highly familiar.

Behavioral anomalies
The solution looks for anomalies from mouse activity, typing patterns, navigation preferences, and platform choice.

Activity trend changes
The solution monitors activity changes, such as frequent log-ins or password resets prior to an incoming payment.
We stop scammers in their tracks
As the only fraud platform, incorporating behavioral intelligence at scale, we are uniquely positioned to help financial institutions boost scam detection rates, reduce false positives, and prevent millions in consumer losses associated with scams and other nefarious forms of fraud.
New account detection
The account peddler
The accomplice
The misled mule