New MACPA.org Launching 4/1! Stay tuned for a brand new online experience.

Vendor Fraud Prevention and Detection

Description

Manage risks of fraud (bold)

In 90% of reported Foreign Corrupt Practices Act (FCPA) cases, a third party is involved. Vendor billing schemes, with $100,000 median loss per incident, are the top frauds in organizations, according to the Association of Certified Fraud Examiners 2022 Report to the Nations.

With vendor fraud so prevalent, it’s critical to know how to detect fraud and understand methods to prevent it.

In this webinar, participants will:
– Gain an understanding of third-party, vendor risk management concepts from the perspective of fraud risk management and regulatory guidelines.
– See how case examples use leading technology approaches to uncover potential improper payments.
– Explore how machine learning and artificial intelligence can be used to continuously improve a company’s vendor risk management program.

Learning Objectives

*Recognize COSO’s fraud Risk management framework around vendors *Recall practical examples of leading tests and Behavioral algorithms *Identify potential improper payments *Recognize The role of Using Machine learning to Risk score payment activity

Major Topics

•COSO and regulator expectations around vendor fraud prevention &@ detection •Sample analytical procedures and leading technology approaches •Machine learning and continuous monitoring examples

Course Level
Basic
Professional Area of Focus
Accounting and Auditing
Accounting & Auditing
CPE Field of Study
Accounting
1.5
Who Should Attend

Auditors of any level who would like to incorporate professional skepticism and improve their knowledge around data analytics

Prerequisites

none

Advanced Preparation

None

Location
Online – AICPA Platform
Event Information
When
Feb 21, 2023
1:00 pm - 2:15 pm EDT
Location
Online – AICPA Platform
Total CPE Credits
1.5
Format
Webcast Replay

MEMBER


$ (% off)
$87.00

NON-MEMBER


$ (% off)
$109.00
Become A Member

Register for this Event

Vendor Fraud Prevention and Detection


Loading
Your browser is out-of-date!

Update your browser to view this website correctly.

Update my browser now

×