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: 2.0
• Advanced Preparation and/or Pre-requisites: Fraud Essentials is recommended.

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.

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.

Pricing

• MRC Members: USD $75 (plus applicable taxes)
• Non-members: USD $150 (plus applicable taxes)