How do you find your high-risk customers?

Originally Presented: July 31, 2019

Financial institutions invest significant time and resources into identifying customers in high-risk categories, such as Private ATM Owners, Money Service Businesses (MSBs), Marijuana-Related Businesses (MRBs),... 

ACAMS Webinar: Leveraging Big Data and Collaborative Investigations for Effective Fraud Prevention

Originally Presented: May 2, 2019

“This is by far the most useful webinar I have attended through ACAMS! Excellent presentation. I appreciate the use of current/modern day true crime cases... 

Banking Marijuana Related Businesses

Originally Presented: March 14, 2019

As the cannabis industry continues to grow in the US, financial institutions are facing increased regulatory uncertainty and due diligence challenges for banking marijuana-related businesses... 

Synthetic Identity Fraud: Unreal Identities Result in Real Fraud Losses

Originally Presented: February 14, 2019

In this digital age, vast amounts of compromised customer information from data breaches and fraud scams is readily available for purchase on the dark web.... 

Collaborative Investigations: Connecting the Dots to Stop Crime

Originally Presented: December 5, 2018

Fraudsters and money launderers do not limit their illicit activities to a single institution. As crime rings evolve, they find new and innovative ways to... 

2018 Crime Trends & Technology: A Year in Review

Originally Presented: November 29, 2018

Highlights of this event: 2018 – A Year in Review: what innovative solutions financial institutions are using to keep a step ahead of industry trends... 

Using Big Data Intelligence for Big Gains in Fighting Crime

Originally Presented: November 7, 2018

Institutions are facing increased pressure to mitigate the risk of fraud and money laundering, and stay compliant. But as workload and costs increase, false positives... 

Crime Rings: The Intersection of Fraud and Money Laundering

Originally Presented: October 17, 2018

Banks and credit unions are facing significant challenges to prevent financial crimes, such as money laundering and terrorist financing, as criminals become more sophisticated in... 

Learning from Fraud Detection: Segmenting AML to Fight Financial Crime

Originally Presented: October 11, 2018

ACAMS Webinar
Artificial Intelligence and Machine Learning to Fight Financial Crime: A Panel Discussion

Originally Presented: August 15, 2018

  “Excellent discussion. Great presenters. Top practical experts!” Senior Investigator / Analyst, WA State Attorney General’s Office “Great content and intel from knowledgeable people!” ASM,...