Course objectives
After completing this course, students will be able to:
- Establish Governance: Design and maintain a risk management framework that aligns with organizational culture and strategy.
- Conduct Precision Assessments: Use quantitative and qualitative methodologies to identify threats and develop realistic risk scenarios.
- Optimize Risk Response: Choose the best strategy (Avoid, Mitigate, Transfer, or Accept) based on cost-benefit analysis.
- Monitor with Metrics: Develop and track Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) to provide actionable reports to stakeholders.
- Secure Modern Tech: Evaluate and manage the unique risks associated with AI data ethics, Cloud migrations, and Third-party vendors.
Course outlines
- Domain 1: Governance
- Organizational Strategy: Aligning risk appetite with business goals.
- Risk Culture: Promoting ethics and accountability across the enterprise.
- Legal & Regulatory: Navigating global privacy laws and contractual requirements.
- Domain 2: IT Risk Assessment
- Risk Identification: Threat modeling and vulnerability analysis.
- Scenario Development: Creating "What-if" scenarios for potential business impacts.
- Analysis Methodologies: Mastering Inherent vs. Residual risk evaluations.
- Domain 3: Risk Response and Reporting
- Response Strategies: Designing and implementing effective IS controls.
- Control Monitoring: Testing the maturity and effectiveness of safeguards.
- Stakeholder Reporting: Using heatmaps and dashboards to communicate risk to the board.
- Domain 4: Technology and Security
- Enterprise Architecture: Understanding the risk footprint of the IT landscape.
- Data Lifecycle: Managing risks from data creation to destruction (Privacy/Protection).
- Emerging Trends: Security implications of Generative AI, Blockchain, and IoT.