Fraud Prevention and Detection in Central Bank Digital Currencies (CBDCs)

With the growth of digital currencies, the risks of fraud and financial crime have increased. Central bank digital currencies (CBDCs) have the potential to offer significant benefits to users, but also present unique challenges for fraud prevention and detection. This training program focuses on the techniques and tools for preventing and detecting fraud in digital currencies, with a specific focus on CBDCs.

The objectives of this training program are as follows:

• To provide participants with a thorough understanding of the techniques and tools for preventing and detecting fraud in digital currencies, including transaction monitoring, anomaly detection, and machine learning.
• To introduce participants to the unique risks and challenges associated with CBDCs and their implications for fraud prevention and detection.
• To equip participants with the necessary skills and knowledge to identify and mitigate potential fraud risks in CBDC systems.
• To enable participants to develop effective fraud prevention and detection strategies for CBDCs.

The target audience for this training program includes:

• Central bank officials and policymakers responsible for developing and implementing CBDCs.
• Risk management professionals and compliance officers in financial institutions involved in digital currency markets.
• Regulators and auditors responsible for overseeing digital currency markets.
• Business executives and entrepreneurs in digital currency-related industries.
• Researchers and academics interested in the intersection of fraud prevention and detection and digital currencies.