This course, "Fraud Risk Management in Emerging Technologies," provides essential insights into the complex and evolving landscape of fraud in the digital age. As Artificial Intelligence (AI), the Internet of Things (IoT), and cloud computing reshape industries, they also introduce new and amplified fraud risks. Understanding these technologies is crucial for effective prevention and detection.

You will learn how emerging technologies transform traditional fraud methods and enable entirely new schemes. We explore specific vulnerabilities and risks inherent in AI systems, IoT ecosystems, and cloud environments, including data manipulation, device insecurities, misconfigurations, and account hijacking.

The course emphasizes the importance of proactive, integrated fraud risk management programs and continuous adaptation. You will discover mitigation strategies, including robust data governance, AI model validation, real-time monitoring, and the use of data analytics and machine learning for advanced detection. We also examine the evolving role of the fraud professional, highlighting the need for technological skills and ethical considerations. Real-world case studies illustrate key concepts and lessons learned, alongside discussions on rapid response and forensic challenges in dynamic environments.

Key learning outcomes include:

• Understanding the impact of AI, IoT, and Cloud on fraud risk.
• Identifying specific fraud vulnerabilities in each technology.
• Learning strategies for mitigating technology-enabled fraud.
• Exploring the use of data analytics and ML in fraud detection.
• Recognizing the challenges and techniques for forensics in dynamic environments.
• Appreciating the need for continuous adaptation and professional development.

Equip yourself with the knowledge and skills to protect organizations against the sophisticated and rapidly changing threats presented by emerging technologies.