Money Mules 2.0: Detecting the human infrastructure behind modern financial crime

Money Mules 2.0: Detecting the human infrastructure behind modern financial crime

ABOUT THIS EVENT

The fight against financial crime has a new front line. It’s no longer just about shadowy masterminds—it’s about the vast, distributed human network they depend on, the money mule.

Today, mules are the operational backbone of the scam economy. And in 2026, the problem has evolved into a professionalised enterprise where participants range from trafficked victims to willing identity renters. Multiple layers of mule accounts are interlaced by the perpetrators to launder the proceeds making it harder to trace.

For banks, this creates a perfect storm: severe regulatory exposure, mounting losses, and an overwhelming operational burden.

The impact is hitting Asian markets with startling speed:

  • Singapore: New laws now impose mandatory caning for serious scam offences, with 167 individuals recently investigated.
  • Philippines: Under AFASA, mules face up to 14 years in prison, making proactive detection a legal necessity.
  • Indonesia: IDR 9 trillion in fraud and scam has been reported in 2025 with 127,000 money mule accounts frozen.
  • India: A ₹12,000 crore cyber fraud was run like a corporation with a dedicated mule-procurement vertical.
  • Thailand: Over 1.18 million mule accounts have been frozen since late 2023.

The era of treating mules as an afterthought is over. They are the engine of modern financial crime—and it’s time to disrupt that engine at its source.

Join our webinar on 7 April 2026 to discover how behavioural intelligence can help you:

  • Identify mule accounts during onboarding and before a crime is committed.
  • Reduce the operational burden of manual investigations.
  • Stay ahead of evolving regulatory requirements across the region.
  • Protect your institution and your customers from the devastating ripple effects of the scam economy.

Who should attend?

  • CIOs, CISOs
  • Chief Risk Officer (CRO)
  • Chief Fraud Officer
  • Chief Financial Officer
  • VP / Head of Fraud Prevention
  • VP / Head of Cybersecurity
  • VP / Head of Digital Banking
  • VP / Head of Risk Management

In partnership with:

AGENDA

Time Topic
1:00pm Welcome & Housekeeping

Allan Tan, Editor-in-Chief, CXOCIETY
1:05pm Opening Remarks: Money Mules in Southeast Asia: Scale, Evolution, and the Detection Gap

Subhashish Bose, Director, Global Advisory S.E.A, BIOCATCH
1:15pm Keynote: Overview of Behavioral Signals of Mule Recruitment and Operation

This session shares real-world money mule account opening and monitoring cases, highlighting a structured examination of behavioral indicators associated with the recruitment and functioning of money mules.

Ben Lindsay, Senior Threat Analyst, BIOCATCH
1:30pm Panel Discussion: Behavioral Intelligence in Money Mule Detection: From Blind Spots to Network Disruption

Banks and financial institutions in Asia face mounting challenges in identifying and disrupting modern mule activity. Legacy systems often fail to capture the nuanced behavioral signals of recruitment and operation, leaving them exposed to significant financial and reputational risk. This session examines how financial institutions in Asia can move beyond one-size-fits-all detection models to leverage behavioral and device intelligence for proactive disruption.

  • The modern money mule - what you need to know
  • Shifting from after-the-fact detection to pre-transactional disruption
  • The critical need to unify fraud, AML, and financial crime teams to view the full financial crime ecosystem
  • Mapping and dismantling the entire criminal network behind the laundering with behavioural intelligence

Moderator:
Allan Tan, Editor-in-Chief, CXOCIETY

Panelists:
Ben Lindsay, Senior Threat Analyst, BIOCATCH
Subhashish Bose, Director, Global Advisory S.E.A, BIOCATCH
Erin West, Founder, OPERATION SHAMROCK
1:55pm Q&A
2:00pm Closing Remarks & End of Event

SPEAKERS

IN PARTNERSHIP WITH

Amazon Web Services offers over 200 fully featured services for computing, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 84 Availability Zones (AZs) within 26 geographic regions, with announced plans for nine more Availability Zones and three more AWS Regions in Indonesia, Japan, and Spain.

Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 700 companies worldwide use Dataiku, including leaders across industries including life sciences, logistics, retail, manufacturing, energy, financial services, software, and technology. With a strong focus on the Forbes Global 2000, Dataiku also supports non-profits and academic institutions through its AI-for-Good initiatives.

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