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 or accessing the archived version of a previously held webinar.
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.
Practical Machine Learning Techniques to Combat Fraud, Waste and Abuse
Originally offered November 15, 2017
This webinar will cover the lifecycle of machine learning including exploratory analysis, feature engineering, model building, scoring and integration, as well as practical techniques and novel uses of machine learning to combat fraud, waste and abuse.
Trends and Technology: The Evolution of Fraud in a Digital Age
Originally offered October 24, 2017
In this webinar, Mauriceo Castanheiro discuss the changing landscape of financial crime with a focus on emerging fraud trends. They will highlight specific industry trends, including the impact of EMV rollout, the growth in payments fraud, and the financial and reputational risks of cyber-enabled financial crimes
Assessing Customer Risk from Application through Account Lifecycle
Originally offered September 21, 2017
Financial institutions must balance the revenue and customer growth from new products, while identifying and removing fraudsters using false or stolen identities to gain access to the organization.
This webinar will discuss how a solution based on advanced network analytics enables financial institutions to better understand customer risk. From the application through the account lifecycle you will look at suspicious details and customer relationships, as well as customer behavior.
Trends and Best Practices in Global Procurement Fraud
Originally offered May 17, 2017
Spending volumes, complex purchasing processes and decentralized buying make fraud detection more challenging in large procurement offices and make the need for ongoing detection processes more critical than ever. A recent U.S. Government Accountability Office study that assesses government- contracting trends, combined with SAS’ experience enabling procurement fraud analytics across a vast global customer base, provides a baseline of best practices for any organization looking to improve controls to reduce improper payments and reduce fraud within contracts. This webinar will explore current contracting trends seen within government contracts and non-governmental purchasing offices, highlight the red flags to spot these trends and reinforce basic procurement fraud detection methodology. The webinar will conclude with best practices in detection and developing an approach to onboard such capabilities.
The Value of a Self-Contained Compliance Program
Originally offered April 11, 2017
Learn the benefits of creating a customized compliance program and step beyond a “check-the-box” approach. This webinar will review anti-fraud compliance program best practices, effective social media and cyber controls, and best practice actions you can take after fraud has been identified. You will learn about the latest industry trends to address you and your company’s compliance needs.
Fraud Detection for SWIFT and Payments
Originally offered March 28, 2017
Recent SWIFT related payment fraud incidents and the move to real-time payments have thrust the detection of payments fraud into the spotlight. The threats are persistent across the payment landscape from low-volume transactions with high monetary exposure, to high-volume and low monetary value
transactions. The evolving payment landscape threats requires sophisticated fraud detection methods to mitigate an institution’s reputational and economic risks.