Introduction
AI enhances risk management by enabling continuous monitoring, anomaly detection, fraud prevention, and smarter compliance operations. This course teaches participants how to apply AI tools to identify, assess, and mitigate enterprise risks. Legal and ethical considerations are emphasized to ensure responsible usage. By the end, learners will be prepared to integrate AI into risk and compliance frameworks.
Course Objectives
- Use AI to identify and assess organizational risks
- Implement anomaly and fraud detection models
- Automate compliance reviews and audits
- Understand regulatory requirements for AI
- Build AI-based risk dashboards and workflows
Target Audience
- Risk managers
- Compliance teams
- Internal auditors
- Finance professionals
- Legal and governance leaders
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: AI Risk & Compliance Overview• Risk management frameworks
• AI risk scenarios
• Key compliance workflows
• AI governance introduction
• Case studies0 - Day 2: Fraud & Anomaly Detection• Unsupervised models
• Transaction monitoring
• Pattern recognition
• Alert prioritization
• Hands-on: Build an anomaly detector0 - Day 3: Regulatory Compliance Automation• Policy automation
• Intelligent document review
• AI for audits
• Regulatory reporting tools
• Hands-on: Compliance workflow0 - Day 4: Enterprise Risk Analytics• Risk scoring
• Predictive risk modeling
• Operational dashboards
• Vendor risk management
• Hands-on: Risk analytics0 - Day 5: AI Governance & Ethics• Responsible AI frameworks
• Transparency and accountability
• Policy creation
• Long-term compliance strategy
• Capstone project0
Instructor
Lessons:
