Meeting Information

Meeting/Event Information

Anatomy of Modern Fraud: Behavioral Profiles, Schemes, Patterns, and Effective Testing Strategies

April 15, 2026
9:00 AM PDT - 5:00 PM PDT
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Online Webinar

The ACFE Los Angeles Chapter, in partnership with the IIA Los Angeles and San Gabriel Valley Chapters, is pleased to invite you to join us for a high‑impact 7‑CPE webinar, ‘Anatomy of Modern Fraud: Behavioral Profiles, Schemes, Patterns, and Effective Testing Strategies’ on April 15, 2026 from 9:00 AM to 5:00 PM Pacific Time. This event is designed for auditors, fraud fighters, and risk professionals looking to elevate their skills in a rapidly evolving threat landscape. This program delivers practical, real‑world insights into risk‑based data analytics, modern Ponzi‑scheme trends, AI‑enabled fraud, and a major public‑sector embezzlement case—equipping attendees with actionable techniques to detect anomalies, strengthen internal controls, and stay ahead of emerging fraud risks.
In addition to cutting‑edge technical content, the event features a unique session on leadership and resilience inspired by lessons from iconic films—reminding us that the human side of business matters now more than ever. Whether you’re looking to sharpen your analytic skills, understand emerging fraud trends, or reinforce ethical culture, this full‑day program delivers the practical tools and insights needed to protect your organization in a rapidly shifting risk landscape.
Instructional Delivery Method: Group Internet Based

Field of Study: Fraud
NASBA CPE Credit: 7 CPEs
Prerequisite: None
Advanced Preparation: None
Program Knowledge Level: Basic/Intermediate

Attendance Requirements: In order to be awarded full credits, for each 50 minute session you must respond to a minimum of three out of four polling questions and have active participation for the entire webinar.

LEARNING OBJECTIVES
- Develop risk‑based data analytics tests to detect anomalies and fraud.
- Identify classic and modern Ponzi scheme red flags and emerging trends.
- Understand how AI enables new fraud tactics and how to counter them with AI tools.
- Apply practical controls and audit techniques learned from real fraud cases and ethical lessons.

Time	Agenda
9:00 AM PT	Designing Anti-Fraud Tests that (Actually) Work! Data Analytics While data analytics is not a new concept, many organizations have tried (many unsuccessfully) to create data analytics that deliver meaningful results and insights, monitor internal controls and identify fraud. This session will focus on how to correlate data and design anti-fraud tests using a risk-based approach in order to tell a story that is both compelling and insightful. Time permitting, a real-life, automated anti-fraud test example report will be illustrated and demoed for the group, as well. Matt Storlie Senior Manager Wipfli Advisory LLC
10:00 AM PT	Old Tricks, New Tech: The Latest Trends in Ponzi Schemes Fraud This presentation will discuss a crime that is over a century old yet feels more modern and sophisticated every single year: the Ponzi scheme. It’s the financial world’s zombie—no matter how many times we think we’ve killed it, it comes back in a new form, with a new “technology,” a new buzzword, and a new group of victims. We will cover: how classic Ponzi schemes work and why they keep succeeding; the newest trends and twists; and the red flag warning signs that show up again and again—regardless of the industry. Kathy Bazoian Phelps Partner Raines Feldman Littrell LLP
11:00 AM PT	Fraud in the Age of AI: Smarter Criminals, Smarter Defenses Fraud AI has made fraud faster, smarter, and harder to detect - eliminating many of the red flags we once relied on. This session examines how fraudsters are weaponizing AI, from deepfakes to synthetic identities, and how organizations can fight back using AI-driven detection and prevention techniques. Learn what’s changing, what still works, and where auditors and fraud fighters must adapt. Mary Breslin President Verracy
1:00 PM PT	Fraud Internal Audit Trends - Banking Industry Justin Zavis Senior Manager Ernst & Young LLP
2:00 PM PT	Profile of a Fraudster – A County official embezzled almost $40 million over 10 years. Learn how she conducted the fraud and discuss internal controls that could have saved millions! Fraud This webinar examines a real case in which a county official embezzled $40 million, revealing how large‑scale fraud can occur even within highly regulated public entities. Participants will learn how the schemes were executed and concealed over multiple years through account manipulation, timing tactics, and the creation of fake accounts. The session concludes with practical, actionable lessons on internal controls, audit techniques, and investigative strategies to help organizations detect and prevent similar fraud. Eric Lee Senior Managing Director GlassRatner Advisory and Capital Group
3:00 PM PT	Leveraging AI to get the most out of data Data Analytics Robin Hunt Co Founder/Partner ThinkData Solutions, Inc.
4:00 PM PT	Wall Street Meets Hollywood: Lessons from the Movies for Corporate America Fraud Given the severe global disruption caused by the Covid pandemic and now the geopolitical turmoil rocking the world, the “human side of business” has become more important than ever. What can the likes of Scrooge, George Bailey, Neo, and others teach Corporate America? “Wall Street Meets Hollywood: Lessons from the Movies for Corporate America” is a powerful, thought-provoking, and energetic session designed for all fraud prevention professionals. The lessons contained in the movies find application in board rooms and lunchrooms, from the janitor to the CEO. The more these lessons are learned and applied, the greater the organizational resilience for meeting the foreseen and unforeseen challenges that lay ahead. Through this highly interactive session, attendees will develop specific skills and strategies they can use immediately after the Webinar, enabling them to create workplaces that are Humane, Ethical, and Resilient. Robin Johnson Assistant To The President SAFEChecks

For registration questions please contact [email protected].

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