
AI Fraud Attacks

The AI Fraud Attacks course comprehensively explores the evolving threats posed by AI-driven fraud and equips participants with strategies to mitigate these risks effectively. It examines the dual role of AI in fraud, highlighting its potential to detect and perpetrate fraudulent activities. The course dives into various attack methods, such as AI-powered phishing, synthetic identity creation, and deepfake technologies, while also exploring adversarial tactics used to exploit machine learning models.
MRC Members: USD $75 (plus applicable taxes)
Non-members: USD $150 (plus applicable taxes)
Participants will gain insights into advanced detection and prevention strategies, including AI-powered fraud detection systems, behavioral analytics, and multi-layered security frameworks. The course also addresses ethical considerations and compliance with global regulations like GDPR and emerging AI-specific standards, ensuring participants understand the legal and moral implications of leveraging AI in fraud prevention. Additionally, learners will explore future trends, such as quantum computing risks and the weaponization of generative AI, to prepare for the rapidly evolving fraud landscape.
FAQs
-
- 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.
- 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 Level: Intermediate
- Program Field of Study: Specialized Knowledge
- Program Delivery Method: QAS Self-Study
- CPE Credits:1.5
- Advanced Preparation and/or Prerequisites: Fraud Essentials is recommended.
- Program Level: Intermediate
- Program Field of Study: Specialized Knowledge
- Program Delivery Method: QAS Self-Study
- CPE Credits:1.5
- Advanced Preparation and/or Prerequisites: Fraud Essentials is recommended.
-
- 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 2–3 hours to complete this course. The course culminates with a comprehensive final assessment to evaluate the user'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 2–3 hours to complete this course. The course culminates with a comprehensive final assessment to evaluate the user'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.
-
- MRC Members: USD $75 (plus applicable taxes)
- Non-members: USD $150 (plus applicable taxes)
MRC Education Accreditation
MRC Education Refund Policy