Data-Driven Cyber Risk Management with FAIR for Practitioners

Overview

This comprehensive instructor-led training provides a solid foundation in the FAIR™ Standard by combining expert guidance with an interactive and hands-on learning approach. Delivered over two consecutive days (six hours per day), the course covers both theoretical concepts and practical methodologies, including the FAIR taxonomy and its analysis process.

Participants learn to define risk scenarios, perform financial estimations, and present results effectively. The program also serves as preparation for the OpenFAIR™ 2 Foundation certification exam.

Who is this for?

• Practitioners in cybersecurity and risk management
• Analysts and consultants involved in cyber risk modeling and assessment
• Professionals seeking to apply the FAIR methodology within their organizations

What you'll learn

• Understand and apply the FAIR taxonomy to model cyber risk scenarios
• Master the FAIR analysis process from scenario definition to results interpretation
• Estimate loss event frequency and loss magnitude using probabilistic techniques
• Identify limitations of qualitative approaches and common cognitive biases
• Effectively present FAIR analysis results to support security investment decisions

Format & duration

Two consecutive days · 12 hours total · Instructor-led, on-site or remote

12 CPE credits awarded on completion.

Prerequisites

None required. A basic understanding of cybersecurity concepts may be beneficial.