Fraud Detection
About Fraud Detection
By performing a real-time, near-real-time, or batch analysis of user and other defined entity activity, fraud detection safeguards customer and enterprise information, assets, accounts, and transactions (such as kiosks).
Data analysis-based approaches are typically used in fraud detection. These methods may be generally divided into two categories: statistical data analysis methods and artificial intelligence or AI-based methods.
Why is Fraud Detection important?
Fraud detection stops corrupt people from conducting fictitious financial or other activities. It is a crucial component in monitoring fraud.
You can prevent thieves from taking personal data or loyalty points linked to your customers' accounts. Consequently, you give your customers a better experience.
Who should take the Fraud Detection Exam?
- Finance and Accounting managers, senior executives, executives
- Compliance officers
- Risk managers
- Fraud managers
- Board members
- Those who want to learn about fraud detection
Fraud Detection Certification Course Outline
- Introduction to Fraud Management
- Establishing a Fraud Prevention Program
- Types of Fraud and Prevention Strategies
- Operating a Fraud Prevention Program
- Maintaining a Compliant Fraud Prevention Program
- Define fraud and recognize its red flags
- Understand common fraud typologies
- Identify your exposure to fraud typologies via a risk-based assessment
- Implement controls to prevent fraud