Introduction to Payments Orchestration
The Introduction to Payments Orchestration course offers a self-paced, foundational program covering payment orchestration fundamentals. Learn to define payment orchestration, identify its key components, and understand the challenges it addresses in the eCommerce landscape.
MRC Members: USD $75 (plus applicable taxes)
Non-members: USD $150 (plus applicable taxes)
By the end of this course, you'll be well-versed in choosing the right payments orchestration provider, managing costs effectively, and improving your platform's payment efficiency.
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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