ED-EL-01 Introduction to Data-Driven Cyber Risk Management with the FAIR™ Standard - e-Learning
Duration: 3 hours of e-Learning content (unlimited access for 3 months)
Training format: Asynchronous (e-Learning)
CPE credits: 3
Pricing
- €195 excl. VAT per person ED-EL-01.1
- €780 excl. VAT / 5 participants ED-EL-01.2
- €1,170 excl. VAT / 10 participants ED-EL-01.3
This e-Learning course enables participants to acquire, at their own pace, a foundational understanding of data-driven cyber risk management and the fundamentals of the FAIR™ Standard.
The program introduces core risk management concepts, highlights the limitations of traditional qualitative approaches, and presents the FAIR taxonomy and how it structures and quantifies risk scenarios in financial terms.
Through video modules, interactive materials, and practical examples, participants discover the value of risk quantification without committing to a full day of training. This format is particularly well suited for managers and stakeholders who wish to familiarize themselves with FAIR before pursuing more advanced training.
The course remains accessible online for three months, allowing learners to revisit key concepts, pause when needed, and progressively integrate the methodology.
€195 excl. VAT per person ED-EL-01.1
€780 excl. VAT / 5 participants ED-EL-01.2
€1,170 excl. VAT / 10 participants ED-EL-01.3
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3 hours of e-Learning content (unlimited access for 3 months)
Asynchronous (e-Learning)
3
By the end of the course, participants will be able to:
- Gain an overview of key definitions of risk and risk management
- Understand the limitations of current qualitative risk analysis approaches
- Explain how the FAIR™ Standard enables financial quantification of cyber risk and supports better decision-making
- Prepare for more advanced training programs (e.g., FAIR practitioner training, governance modules, etc.)
Who Should Attend
Managers, business or support function leaders, compliance or audit professionals, and any individual required to interpret or leverage cyber risk analyses.
Prerequisites
None. General familiarity with cybersecurity or compliance topics is beneficial but not required.
Introduction to the FAIR™ Model
- Origins of the model and its current legitimacy within the cybersecurity ecosystem
- Positioning relative to other risk management frameworks
Understanding Risk and Risk Management
- Risk perception and subjectivity
- Definitions of risk, threat, vulnerability, and loss event
- The role of risk management in decision-making
Why Quantify Cyber Risk?
- Limitations of qualitative approaches (risk matrices, ordinal scoring)
- Cognitive biases and noise in risk analysis
- Benefits of measuring risk in financial units
The FAIR™ Method and Taxonomy
- Overview of the five steps of a FAIR analysis
- Decomposition of risk into loss event frequency and loss magnitude
- Identification and influence of security controls on risk
Instructional design developed by the C-Risk Education team, experts in FAIR-based risk quantification.
Video contributions from FAIR experts sharing real-world experience and practical case examples.
- Self-assessments integrated throughout the eLearning modules
- Multiple-choice quizzes at the end of each chapter to validate understanding of key concepts
- Interactive video modules accessible online 24/7 for 3 months
- Bibliographic references and links to relevant standards
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