MRC Education Store

The Generative AI and Identity Fraud course explores the growing intersection between advanced generative technologies and evolving identity-based fraud threats. As fraudsters adopt AI-powered tools to create realistic fake identities, mimic voices and faces, and execute sophisticated social engineering attacks, fraud prevention professionals must adapt rapidly to defend the customer journey. This course provides a deep dive into the techniques and technologies used to facilitate GenAI-powered identity fraud, including synthetic identity creation, deepfake impersonation, phishing campaigns, and fraudulent websites. Learners will learn how these tools bypass traditional verification systems and how emerging detection methods such as behavioral biometrics, device intelligence, and real-time analytics are evolving in response. The course also examines regulatory and ethical considerations, including transparency, fairness, and AI accountability. Who Should Enroll? Fraud Prevention and Risk Professionals tasked with protecting customer identity and transaction integrity. Financial Institutions, eCommerce Merchants, and Fintech Platforms seeking to strengthen defenses against GenAI-enabled fraud. Compliance and Regulatory Staff needing awareness of AI-driven risks in KYC, AML, and data privacy frameworks. Analysts and Investigators focused on detecting, mitigating, and preventing identity fraud. Program Details Program Level: Intermediate Program Field of Study: Specialized Knowledge Program Delivery Method: QAS Self-Study CPE Credits: 1.5 Advanced Preparation and/or Pre-requisites: Fraud Essentials is recommended. For more information regarding any concerns, please email us at programs@merchantriskcouncil.org.  Refunds and cancellations are determined on a case-by-case basis. Cancellations and requests for refunds must be communicated in writing to programs@merchantriskcouncil.org. Refunds will not be issued once a course has been started. Additionally, courses must be completed within one year of purchase. Read more

The Geolocation Technology in the Fight Against Fraud course introduces geolocation as a vital tool for fraud prevention, covering technologies like IP geolocation, GSM triangulation, Wi-Fi, GPS, and Bluetooth-based tracking. Each method brings unique strengths in pinpointing user and device locations, aiding in fraud detection by flagging suspicious behaviors, and verifying low-risk activities. The course explores geolocation's evolution from basic IP-based methods to sophisticated, multi-layered solutions that enhance accuracy and provide real-time insights. Privacy, legal compliance, and data security are emphasized, with guidance on adhering to regulations like GDPR and CCPA through transparent data handling and user consent. Learners gain practical skills in implementing geolocation for fraud detection, including setup, data collection, and integration with other security systems. The course examines evasion tactics fraudsters use, such as VPNs and location spoofing, and effective countermeasures to address these challenges. Future trends are discussed, expanding the potential of geolocation in security frameworks. Concluding with ethical and legal considerations, the course prepares participants to responsibly leverage geolocation technology for enhanced fraud prevention while upholding user privacy and trust. Who Should Enroll? Fraud Analysts will gain insights to assess risks, reduce false positives, and identify coordinated fraud attempts using geolocation data. Payment Security Specialists will learn to safeguard payment systems against unauthorized activities like card-not-present fraud and account takeovers. eCommerce Fraud Managers will enhance fraud detection during transactions, disputes, and account sharing with practical geolocation applications. Chargeback Specialists will use geolocation data to strengthen compelling evidence reports and effectively fight false claims. Program Details Program Level: Intermediate Program Field of Study: Specialized Knowledge Program Delivery Method: QAS Self-Study CPE Credits: 2.0 Advanced Preparation and/or Pre-requisites: Fraud Essentials is recommended. For more information regarding any concerns, please email us at programs@merchantriskcouncil.org.  Refunds and cancellations are determined on a case-by-case basis. Cancellations and requests for refunds must be communicated in writing to programs@merchantriskcouncil.org. Refunds will not be issued once a course has been started. Additionally, courses must be completed within one year of purchase. Read more

Identifying and Preventing Ad Fraud for eCommerce Digital advertising creates tremendous opportunities for organizations to reach customers, generate leads, and drive revenue. However, it also creates opportunities for fraud. Fraudulent traffic, fake clicks, manipulated impressions, and other forms of invalid activity can waste advertising budgets, distort performance metrics, and undermine confidence in business decisions. This course provides a practical introduction to ad fraud, invalid traffic (IVT), and the techniques organizations use to identify, prevent, and manage advertising fraud risks. Learners will explore how fraudsters exploit weaknesses in the digital advertising ecosystem, how fraudulent activity impacts advertising performance and business outcomes, and how industry standards help organizations improve traffic quality and measurement accuracy. Whether you are responsible for digital marketing, fraud prevention, analytics, or business operations, this course provides foundational knowledge and practical frameworks to help you recognize warning signs, evaluate traffic quality, and make more informed advertising investment decisions. Who Should Enroll? Digital Marketing Professionals responsible for managing advertising campaigns, media budgets, performance measurement, and campaign optimization. Fraud and Risk Managers seeking to understand how invalid traffic and advertising fraud impact business performance, data quality, and fraud prevention efforts. Analytics and Data Professionals responsible for interpreting campaign results, identifying anomalies, and maintaining confidence in business reporting. Advertising Operations and Media Buying Teams involved in campaign execution, traffic evaluation, publisher relationships, and advertising quality controls. Business Leaders and Decision Makers looking to understand how advertising fraud affects marketing effectiveness, customer acquisition, and strategic decision-making. What You will Learn In this course, you'll learn how ad fraud operates within the digital advertising ecosystem and why fraudsters are financially motivated to generate invalid traffic. You'll explore the differences between General Invalid Traffic (GIVT) and Sophisticated Invalid Traffic (SIVT), examine common fraud schemes across advertising channels, and learn how fraudulent activity affects campaign performance, measurement, and business outcomes. The course focuses on practical concepts and real-world examples to help learners recognize common warning signs, evaluate traffic quality, apply industry frameworks, and understand strategies organizations use to protect advertising investments and improve decision-making. Program Details Program Level: Foundational Field of Study: Fraud Prevention & Detection Delivery Method: QAS Self-Study CPE Credits: 2 Advanced Preparation: No advanced preparation is required. A basic understanding of digital advertising, marketing, analytics, or fraud prevention concepts may be helpful but is not required. Read more

MRC Members receive exclusive pricing when accessed through the member portal.  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. By the end, you'll be well-versed in choosing the right payments orchestration provider, managing costs effectively, and improving your platform's payment efficiency. Who Should Enroll? eCommerce payment managers seeking to enhance their understanding of payments orchestration. Fraud prevention specialists who need to understand how payments orchestration can impact fraud management eCommerce business owners and managers looking to optimize their payment systems for efficiency and cost-effectiveness. Customer experience managers looking to optimize the customer experience through streamlined and efficient payment processes. The course may also benefit financial analysts, IT and technical professionals, compliance officers, and strategic planners and consultants in online retail. Program Details Program Level: Basic  Program Field of Study: Specialized Knowledge Program Delivery Method: QAS Self Study CPE Credits: 1.0 Advanced Preparation and/or Pre-requisites: None For more information regarding any concerns, please email us at programs@merchantriskcouncil.org.  Refunds and cancellations are determined on a case-by-case basis. Cancellations and requests for refunds must be communicated in writing to programs@merchantriskcouncil.org. Refunds will not be issued once a course has been started. Additionally, courses must be completed within one year of purchase. Read more

MRC Members receive exclusive pricing when accessed through the member portal.  Step into the future of eCommerce fraud fighting with our course on Machine Learning for Fraud Prevention. Designed for fraud and risk professionals in the digital age, this course offers a deep dive into the essentials of machine learning (ML) and its pivotal role in combating card-not-present fraud. You'll learn to define machine learning, differentiate various model types, and understand their specific applications in fraud management. Additionally, you'll learn about model scores, including the distinction between raw and calibrated scores, and how to set decision thresholds. This course shows how machine learning can be combined with rules and manual review for optimal decision-making in fraud prevention. Ideal for those looking to harness the power of machine learning in securing eCommerce platforms. Who Should Enroll? Fraud prevention professionals looking to integrate machine learning techniques into their fraud-fighting strategies. Risk management professionals seeking advanced methods to identify and mitigate potential fraud risks. Data analysts and scientists interested in applying their expertise to detect and prevent fraud through machine learning models. Financial and payment professionals seeking to improve their knowledge of advanced fraud prevention techniques. This course may also benefit eCommerce business owners and managers, IT and security professionals, and compliance officers in digital retail. Program Details Program Level: Basic  Program Field of Study: Specialized Knowledge Program Delivery Method: QAS Self Study CPE Credits: 2.5   Advanced Preparation and/or Pre-requisites: None  For more information regarding any concerns, please email us at programs@merchantriskcouncil.org.  Refunds and cancellations are determined on a case-by-case basis. Cancellations and requests for refunds must be communicated in writing to programs@merchantriskcouncil.org. Refunds will not be issued once a course has been started. Additionally, courses must be completed within one year of purchase. Read more

The Mobile Data Uses for Fraud Prevention course offers a comprehensive understanding of how mobile data can be leveraged to enhance fraud prevention strategies. Participants will explore various types of mobile data, such as device metadata, geolocation, usage patterns, and network details. The course covers the key stakeholders in mobile data collection and usage, including data providers, regulatory bodies, and end-users, along with a detailed overview of the regulatory landscape and compliance requirements. Participants will learn about different sources of mobile data and the methods used to collect it, including technologies like APIs and secure data transmission. The course also focuses on the practical applications of mobile data in fraud prevention, highlighting critical benefits like improved detection rates, reduced false positives, and enhanced operational efficiency. Lastly, the course will outline a framework for implementing mobile data strategies in fraud prevention, addressing system integration, continuous improvement, and real-time data analysis. By the end of the course, participants will understand the critical role mobile data plays in modern fraud prevention and how to apply these strategies effectively. Who Should Enroll? Fraud prevention analysts and specialists involved in detecting and preventing fraud will gain insights into how mobile data can be used to enhance their strategies and improve detection accuracy. Data analysts and data scientists will benefit from understanding how to incorporate mobile data into their analytical frameworks for fraud detection. IT and security professionals will learn how to integrate mobile data with existing infrastructure to enhance security measures. Compliance officers tasked with ensuring that data practices comply with regulatory standards will find value in understanding the regulatory landscape surrounding mobile data collection and usage. This course may also benefit risk management and financial services professionals. Program Details Program Level: Intermediate Program Field of Study: Specialized Knowledge Program Delivery Method: QAS Self-Study CPE Credits: 1.8 Advanced Preparation and/or Pre-requisites: Fraud Essentials is recommended. For more information regarding any concerns, please email us at programs@merchantriskcouncil.org.  Refunds and cancellations are determined on a case-by-case basis. Cancellations and requests for refunds must be communicated in writing to programs@merchantriskcouncil.org. Refunds will not be issued once a course has been started. Additionally, courses must be completed within one year of purchase. Read more