Fraud Prevention/Detection/Reporting

Fraud Update: The Impact Of Fraud And Actions To Address Fraud v2.1

As fraud has evolved over the years the controls and procedures to prevent and detect fraud have also evolved. This course will consider the significant impact of fraud and the measures that have occurred to address fraud, particularly white-collar crime. The U.S. government response to events and situations involving fraudulent activity will be looked at, along with the consequences for committing fraud. The effectiveness of an organization's internal control system plays an important role regarding fraud, and an overview of the recently updated COSO's Internal Control - Integrated Framework is provided. Examples of fraud risks will be reviewed, along with steps that can be implemented as part of an anti-fraud program.

Learning Objectives:

  • Recognize the impact of fraud.
  • Identify government actions taken to address fraud.
  • Identify the components of internal control.
  • Recognize the fraud risk assessment process.
  • Recognize fraud risk factors.
  • Identify controls that address the risk of fraud.


Prerequisites/Advanced Preparation:

None


Speaker / Author:

Colleen Neuharth McClain
Colleen Neuharth McClain is a certified public accountant (CPA) practicing in the fields of financial accounting and controllership as a sole proprietor. She is a graduate of the University of Texas and has served for more than 15 years as a financial controller for various organizations; small and large, public and private, domestic and international. She is now sharing her knowledge and experiences with other accountants through writing continuing education material and exam questions.

Buy

Price (USD)

Standard: $24.95

Details

Course Code : 99NEU02-tx-v2A

Release Date : 02/13/2023
Expire Date : 01/31/2025
Credits :
CPE 1.00
QAS 1.00
Length : 50min
Course Level : Basic
Course Type : QAS Self-Study
Passing Grade : 70%
Format Type : eLearning
Mobile Compatible
Field Of Study : Accounting

Theme : Fraud Prevention/Detection/Reporting

Returning Subscribers

Login Login