Sponsored Webinars

Gain important fraud-fighting knowledge and learn best-practices from your own office or home computer by participating in our newest learning opportunity for anti-fraud professionals: ACFE Online Learning. ACFE Online Learning courses offer you a convenient way to enhance your anti-fraud skills!


Earn CPE credit for your designation by participating in one of our live webinars, accessing the archived version of a previously held webinar or purchasing a CD-ROM for your professional library.


CPE credits for the online recording are eligible for ACFE CPE but are not NASBA compliant; your licensing body, however, may still grant CPE credit. Please contact the organization from which you plan to claim CPE credit to determine if it grants CPE hours for completion of this course via the online recording.

Upcoming Webinars


Archived Webinars

The Impact of the Underground Economy and How Analytics Can Fight It

Originally offered on May 18, 2016 
Time: 2:00 p.m. EDT 
The underground economy creates a huge gap in both the United States and countries abroad, resulting in damaged government organizations and, private companies, as well as raising burdens on citizens. In this webinar, you will learn about the scope of its impact, as well as discover how data sharing and analytics can help root out problems and identify individuals and businesses to pursue for fraud and non-compliance.

Digital Decisioning in Today’s Fraud Environment

Originally offered on April 21, 2016  
Payment monitoring in today’s digital payment channels presents unique and sometimes difficult set of challenges. This webinar will provide insights into the types of solutions required for end to end fraud monitoring of mobile and other digital payment channels. By exploring real-world case studies, you’ll gain deeper insights into remote deposit capture, “step –up” authentication based upon different levels of risk, and industry and SAS viewpoints.

Improving Application Fraud Detection Across Silos

Originally offered on March 29, 2016
Organizations are often hindered in detecting application fraud because of siloed data, limited analytics, and the inability to quickly update models and rules. Current fraud detection procedures often result in high levels of false positives which require intensive manual review and unhappy customers. Discover new ways to take a more integrated approach to fraud detection across various online and mobile application workflows to reduce application fraud and increase customer satisfaction.


The Evolving Financial Crime Landscape: Using Next Generation Technologies to Solve the Puzzle

Originally offered on October 14, 2015
Financial institutions are facing a range of challenges involving AML and fraud. These challenges include: increasing pressure from regulators to prove the adequacy of their AML and BSA controls, big data volumes, high levels of false positives, and the need to analyze structured, unstructured and open source data. Many financial professionals are seeking ways to take a more integrated approach by merging these typically siloed activities into a single enterprise view.


Cyber Threats: The Gateway to Fraud

Originally offered on September 23, 2015
In many cases, the road to fraudulent activity can begin with a cyberattack on the organization. With security and fraud teams typically separated in the organization, it can be difficult to connect security incidents with fraudulent activity until it is too late. Because both security and fraud teams play a vital role in protecting profitability, maintaining customer trust and ensuring compliance, these areas should be considered in tandem.


Fraud Analytics in the Cloud

Originally offered on April 28, 2015
Cloud hosting options make advanced fraud analytics programs accessible to organizations of all sizes. In this session, you will learn how to evaluate fraud analytics solutions and determine when cloud hosting is the best option. An insurance fraud analytics case study will be reviewed as a real example of how to effectively implement a cloud-based fraud analytics program.