This training session addresses the escalating threats posed by cybercrimes in Anti-Money Laundering and Countering Financing of Terrorism (AML/CFT), with a specific focus on the challenges introduced by advancements in Artificial Intelligence (AI). Participants will explore the intersection of AI and cybercrime, learning about AI-driven threats to financial systems, the use of AI in fraud detection, and the implications for data security. Through real-world case studies, the course aims to discuss the current and future threats within AML/CFT and the possibilities surrounding A.I. development.

Level 

Intermediate

Topics

• Overview of Cybercrimes in AML/CFT
• AI-driven Threats to Financial Systems
• Using AI for Fraud Detection and Prevention
• Implications of AI on Data Security and Privacy
• Regulatory Challenges and Responses to AI Threats
• Case Studies on AI Exploitation and Defense Strategies

Goals

• Equip participants with an understanding of modern cyber threats in the context of AML/CFT
• Provide insights into how AI technologies are shaping financial crimes
• Enhance skills in utilizing AI for detecting and preventing money laundering and fraud
• Discuss regulatory updates and best practices for managing AI risks in compliance frameworks
• Foster proactive strategies to mitigate potential AI-driven threats in financial operations

Target Group

• Compliance Officers
• Reporting Officers
• Business owners
• Policy Makers
• Reporting Officers