Description
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.
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.
Who Should Enroll?
- Fraud Analysts seeking advanced tools to detect and counter sophisticated AI-driven fraud schemes.
- Cybersecurity Specialists aiming to enhance systems to defend against emerging AI-powered threats.
- Payment Professionals interested in safeguarding payment systems and leveraging AI for fraud prevention.
- Business Leaders looking to understand the operational, financial, and reputational risks associated with AI-driven fraud.
Program Details
Program Level: Intermediate
Program Field of Study: Specialized Knowledge
Program Delivery Method: QAS Self-Study
CPE Credits: 1.2
Advanced Preparation and/or Pre-requisites: Fraud Essentials is recommended.
For more information regarding any concerns, please email us at [email protected].
Refunds and cancellations are determined on a case-by-case basis. Cancellations and requests for refunds must be communicated in writing to [email protected]. Refunds will not be issued once a course has been started. Additionally, courses must be completed within one year of purchase.
Merchant Risk Council is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org
Course Created: 2/19/2025
Objectives
- Understand the role of Artificial Intelligence (AI) and Machine Learning (ML) in modern fraud detection systems.
- Identify how fraudsters exploit AI technology
- Identify the types of AI-driven fraud attacks.
- Analyze how AI technologies, such as deepfakes and synthetic identity creation, are exploited to carry out advanced fraud schemes.
- Understand key AI techniques used in fraud.
- Analyze how adversarial attacks are used to exploit systems and individuals, and identify methods to counter these tactics.
- Understand the role of AI in modern fraud detection systems.
- Evaluate robust prevention strategies. Understand the evolving landscape of AI-driven fraud.
- Develop proactive strategies to prepare for future threats.
Certificate
By completing/passing this course, you will attain the certificate MRC Education Certificate of Completion
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