Fraud Key Performance Indicators (KPIs)
The Fraud Key Performance Indicators (KPIs) course is a self-paced, intermediate program covering a deep dive into fraud KPIs in the eCommerce sector. This comprehensive course is designed for professionals navigating the complexities of online fraud, the course focuses on defining, understanding, and effectively managing critical fraud KPIs such as chargeback rate, false positive rate, account takeover rate, and refund rate.
MRC Members: USD $75 (plus applicable taxes)
Non-members: USD $150 (plus applicable taxes)
In this course, participants will learn how to utilize data analytics and visualization tools in KPI management, apply best practices to real-world scenarios, and stay ahead in the ever-evolving landscape of eCommerce fraud.
FAQs
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- eCommerce payment managers needing to ensure transaction security through technologies like tokenization.
- Data security specialists in eCommerce looking to deepen their understanding of tokenization as a security measure.
- Fraud prevention experts needing knowledge of advanced security measures, like tokenization.
- Compliance officers ensuring that eCommerce operations adhere to payment security standards and regulations.
- This course may also benefit eCommerce business owners, financial analysts, customer experience managers, IT and technical professionals in online retail.
- eCommerce payment managers needing to ensure transaction security through technologies like tokenization.
- Data security specialists in eCommerce looking to deepen their understanding of tokenization as a security measure.
- Fraud prevention experts needing knowledge of advanced security measures, like tokenization.
- Compliance officers ensuring that eCommerce operations adhere to payment security standards and regulations.
- This course may also benefit eCommerce business owners, financial analysts, customer experience managers, IT and technical professionals in online retail.
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- Program Level: Basic
- Program Field of Study: Specialized Knowledge
- Program Delivery Method: QAS Self Study
- CPE Credits: 1.4
- Advanced Preparation and/or Pre-requisites: Payment Essentials recommended.
- Program Level: Basic
- Program Field of Study: Specialized Knowledge
- Program Delivery Method: QAS Self Study
- CPE Credits: 1.4
- Advanced Preparation and/or Pre-requisites: Payment Essentials recommended.
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- Identify how generative AI technologies are being exploited in modern identity fraud schemes.
- Explain the limitations of traditional fraud detection systems.
- Describe how generative AI enables new forms of identity fraud.
- Explain how AI tools enhance account takeover and impersonation tactics.
- Recognize how generative AI is being used in real-world identity fraud cases.
- Describe the risks posed by cross-border GenAI-enabled fraud.
- Identify advanced detection methods for combating GenAI-based identity fraud.
- Explain the importance of layered authentication strategies and real-time monitoring in defending against AI-enhanced identity threats.
- Understand the regulatory implications of using AI in fraud detection.
- Identify compliance risks posed by generative AI and how to align fraud prevention strategies with data privacy, transparency, and legal defensibility.
- Recognize emerging GenAI fraud threats and how LLMs may be weaponized at scale.
- Identify tools, training, and strategies to prepare teams and build ethical, adaptive AI defenses.
Please allow 1.5–2.0 hours to complete this course. The course culminates with a comprehensive final assessment to evaluate the learner’s comprehension of the material. Upon successfully completing the final assessment, participants will be awarded a certificate of completion representing their proficiency in the subject matter.
- Identify how generative AI technologies are being exploited in modern identity fraud schemes.
- Explain the limitations of traditional fraud detection systems.
- Describe how generative AI enables new forms of identity fraud.
- Explain how AI tools enhance account takeover and impersonation tactics.
- Recognize how generative AI is being used in real-world identity fraud cases.
- Describe the risks posed by cross-border GenAI-enabled fraud.
- Identify advanced detection methods for combating GenAI-based identity fraud.
- Explain the importance of layered authentication strategies and real-time monitoring in defending against AI-enhanced identity threats.
- Understand the regulatory implications of using AI in fraud detection.
- Identify compliance risks posed by generative AI and how to align fraud prevention strategies with data privacy, transparency, and legal defensibility.
- Recognize emerging GenAI fraud threats and how LLMs may be weaponized at scale.
- Identify tools, training, and strategies to prepare teams and build ethical, adaptive AI defenses.
Please allow 1.5–2.0 hours to complete this course. The course culminates with a comprehensive final assessment to evaluate the learner’s comprehension of the material. Upon successfully completing the final assessment, participants will be awarded a certificate of completion representing their proficiency in the subject matter.
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- MRC Members: USD $75 (plus applicable taxes)
- Non-members: USD $150 (plus applicable taxes)
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