Fraud Symposium Agenda

Wednesday, March 27, 2019 - 9:00 am - 5:00 pm
Anaheim Marriott Suites
12015 Harbor Blvd
Garden Grove, CA 92840

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Faster Payments Fraud Management:
Navigating Through Uncharted Waters

Best practices for fraud management in a faster payments environment

As banking transforms, fraudsters become more organized and sophisticated, using themselves, advanced analytics and AI to attack financial institutions, especially with the launch of new faster payments products. NICE Actimize has over a decade of experience protecting faster payments. We will share best practices for launching faster payments and some major challenges financial institution faced.
Allegra Angus, Product Manager, Fraud
Nice Actimize

Changes in U.S. Payments Fraud 2012-2016:
Evidence from the Federal Reserve Payments Study

An overview of the impact of fraud on the payments industry in recent years

An efficient, effective, and safe U.S. and global payment and settlement system is vital to the U.S. economy, and the Federal Reserve plays an important role in helping maintain that system's integrity. The Federal Reserve Payments Study provides the payments industry, financial institutions, policy makers and, more broadly, the public unbiased quantitative data that can inform prevention and detection of payments fraud.
Nancy Donahue, Retail Payments Project Manager
Federal Reserve

Fraud, Scams and Identity Theft:
How to Protect Vulnerable Older Adults

Sound practices for protecting older adults from fraud, scams and identity theft

Ruth Robeson, Executive Director
Elder Financial Protection Network

Payments Fraud Case Studies and Trends

Case Studies of the U.S. Secret Service's Electronic Crimes Task Force

An overview of recent activity of the U.S. Secret Service's electronic crimes task forces, including counterfeit currency cases and how digital forensics are used to combat child exploitation, credit card fraud and data breaches.

Michael Succi, Special Agent
U.S. Secret Service

Fighting Faster Payments Fraud with Machine Learning

Learn how machine learning based fraud detection can mitigate fraud in real-time

Fraud follows speed. Faster Payments leave no time for manual review of transactions and no room for high false positives. Learn how machine learning based fraud detectioo can mitigate fraud in real-time with low false positives, ensure positive customer experiences, and transform fraud operations fro loss-recovery to loss-prevention.

Eric Tran-Le, Vice President Product Management
Guardian Analytics

Payment Fraud in a Real-Time Payment Environment

At first blush, people thinking about real-time payments might expect higher, or at least faster, fraud concerns.  But given the credit-push nature of RTP and other faster payment methods, fraud considerations fit into a somewhat different framework.  We’ll discuss a framework for payments fraud – basic fraud types, how they differ for debit-pull vs. credit-push, and some estimates of fraud losses.  Then we’ll look at real-time payments and fraud considerations, as well as what might be on the horizon as the U.S. catches up to other countries in faster payments.

Lee Kyriacou, Real-Time Payments Enforcement
The Clearing House