Bot Mitigation Strategies for eCommerce
The Bot Mitigation Strategies for eCommerce course explores bots' complex and dynamic ecosystem and their vast — often hidden — impact on eCommerce. These automated threats are behind massive customer data breaches and hundreds of millions of dollars lost to fraud each year. They harm the customer experience and cause long-term damage to brands. They lower companies’ revenues while raising their operating costs. They are now threatening key IP by scraping proprietary AI models and APIs. Given these stakes, an effective bot defense is of interest far beyond Security and IT teams - it is a critical foundation to safeguard the future of a business.
MRC Members: USD $75 (plus applicable taxes)
Non-members: USD $150 (plus applicable taxes)
Participants will learn about different types of attack and their impacts, understand the motivations of the attackers, and signs and symptoms their business may have a bot problem. They will become knowledgeable about how AI is fueling these threats, what defenses are effective today, and key features to look for in a bot mitigation provider.
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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