Risk perception and decision-making vary across organizational levels. Executive leadership and board members typically focus on different concerns than operational teams, resulting in distinct decision-making needs. An effective Quantitative Risk Assessment (QRA) should support decisions at all levels, providing clear line-of-sight across the organizational hierarchy.
To illustrate, consider these strategic questions that a robust QRA model can help address:
What are the chances that the business will not be able to achieve its growth target due to material cybersecurity events?
What are the top three most consequential cyber threat scenarios facing the business, and what is the likelihood that the expected loss will exceed X million dollars?
What control deployment architecture gives us the best risk reduction outcomes?
What metrics and key risk indicators are contributing to the bulk of our risk exposure?
We can categorize these questions into broad tiers, for example:
Tiered Risk Questions
Tier 0 Risk (T0): Questions about probable futures and forecasting of material risk impact on corporate objectives.
Tier 1 Risk (T1): Impact Scenario risk questions, such as what classes of risk are most consequential to the business?
Tier 2 Risk (T2): Assets and controls-focused risk , including the concept of attack paths, controls and their efficacy, attack simulation outcomes etc.
Tier 3 Risk (T3): Key risk indicators (KRIs) and metrics, feeding T2 risks such as threat/vulnerability arrival rates, burndown rates, survival rates etc.
The risk questions in Tier 0 and Tier 1 are strategic in nature, having to do with executive/board-level decision making, whereas Tier 2 and Tier 3 drive operational and tactical decision making with business units, the security team, IT, engineering, DevOps and so on.
Let us now step through each risk tier, and discuss how you might structure the analysis of risk at each tier.