This lab will be hosted on Monday, October 16 from 1 PM - 5 PM.
The Factor Analysis of Information Risk (FAIR) model and methods are recognized as an Informative Reference to the NIST CSF, adopted as an international standard for risk analysis by The Open Group, aligned to ISO 31000 and other standards, and backed by a worldwide network of risk researchers, managers, and analysts in the FAIR Institute. FAIR helps clarify the risks you face so you can most cost-effectively manage them.
In this course, we will focus on understanding the data outputs from FAIR risk analyses and how to translate these details into a presentation for a non-technical stakeholder. The curriculum covers the following:
• Understanding FAIR Metrics
o Most Likely vs. Average
o Min/Max vs. 10th/90th
o Average ALE vs. Average per Event
o Forecast vs. Prediction
• Identifying the Different Needs of Stakeholders
• Storytelling with Data
Hands-on Lab Experience:
• Creating a Visual Presentation
• Practice Storytelling
Upon completing the course, participants will receive a Certificate of Completion with 4 CPEs.