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CRISC Practice Question: Which risk assessment approach is most…
Which risk assessment approach is most appropriate for a new technology that has limited historical data and high uncertainty?
⚠ Common exam trap
Watch out — candidates often choose quantitative methods like ALE (Option A) because they seem more 'objective,' failing to recognize that such methods are data-dependent and inappropriate when historical data is absent or unreliable.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Delphi technique with a panel of experts.
The Delphi technique is most appropriate for a new technology with limited historical data and high uncertainty because it leverages the collective judgment of a panel of experts through iterative, anonymous rounds to reach a consensus on risk likelihood and impact. This approach does not rely on historical loss data or predefined benchmarks, making it ideal for novel or emerging technologies where empirical data is scarce.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Quantitative risk assessment using ALE calculations.
Why it's wrong here
Quantitative methods require historical data for frequency and impact estimates, which are unavailable for new technology.
- ✗
Bow-tie analysis to map causes and consequences.
Why it's wrong here
Bow-tie is a visualization tool but still requires input data; expert judgment is needed but not the primary approach.
- ✗
Automated risk scoring based on industry benchmarks.
Why it's wrong here
Benchmarks may not exist for a new technology, and automated scoring can be inaccurate without data.
- ✓
Delphi technique with a panel of experts.
Why this is correct
The Delphi technique is a qualitative method that uses expert consensus, suitable for uncertain environments.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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