We are pleased to release the FAIR Taxonomy for Cyber Risk Scenarios: An Analyst’s Guide for Defining Risk Scenarios for Continuous Risk Management—a resource to help organizations define, refine, and manage cyber risk scenarios more precisely. This guide provides a standardized taxonomy for cyber risk scenarios, ensuring analysts and decision-makers can consistently define risks, develop risk registers, and prioritize scenarios.
The guide is the first of at least three in a series. Others will address which risk scenarios to consider and prioritize and how best to measure risk according to scenarios (using the FAIR Model).
We present this guide to the community for use and feedback. Pending feedback, we anticipate proposing the taxonomy to the FAIR Institute Standards Committee as a new standard in our portfolio.
Organizations often face challenges in defining cyber risk scenarios effectively, leading to inconsistent risk assessments and decision-making. Common pitfalls include:
The taxonomy for cyber risk scenarios solves these issues by introducing a structured, industry-aligned approach to defining risk, enabling more effective cyber risk quantification and management.
This guide introduces several essential components:
The guide defines and discusses the following defining elements of a cyber risk scenario:
1 . Threat – The entity causing harm (e.g., cybercriminals, nation-state actors, insiders)
2 . Asset – The business-critical element being impacted (e.g., financial systems, intellectual property, customer data)
3. Method – The attack vector used (e.g., phishing, ransomware, supply chain compromise)
4. Effect – The type of business loss resulting from the attack (e.g., financial fraud, business interruption, reputational damage)
The guide recommends that each scenario statement follows a consistent structure:
“[Threat] impacts [asset] via [method], causing [effect(s)].”
Example: A cybercriminal impacts company funds (cash and cash equivalents) via a phishing-based business email compromise (financial fraud), causing a direct financial loss (financial fraud).
The guide then provides a detailed taxonomy of the four defining elements, as shown below.
The guide provides a definition for each element of the taxonomy and provides useful examples.
Organizations that adopt the structured approach outlined in this guide will benefit from:
More actionable risk registers: Replace ineffective, vague risks with clearly defined, relevant scenarios.
The FAIR Taxonomy for Cyber Risk Scenarios is designed for cybersecurity and risk management professionals, including:
The FAIR Taxonomy for Cyber Risk Scenarios (February 2025) is now available here for FAIR Institute members. Download your copy today and take the first step toward building a structured, effective cyber risk management program.
We welcome your feedback as we continue refining this framework. Let’s work together to clarify cyber risk scenario analysis and strengthen the industry’s approach to quantifying cyber risk. To share feedback, email us at Standards@FAIRInstitute.org.