Selecting an Information Security Metric | CISA Exam | ISACA

Information Security Metric Selection

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Question

Which of the following is MOST important when selecting an information security metric?

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A. B. C. D.

A.

When selecting an information security metric, it is important to consider several factors to ensure that the metric is effective in achieving the intended objectives.

Out of the options provided, the most important factor to consider is A. Defining the metric in quantitative terms. This means that the metric should be measurable, and the results can be expressed numerically. A quantitative metric can help provide a clear understanding of the current state of information security and measure progress towards achieving security goals.

Quantitative metrics also provide objective data that can be analyzed and compared over time, making it easier to identify trends and patterns. This helps in decision-making processes and can provide insights into where to focus resources and efforts to improve information security.

While it is important to align the metric to the IT strategy, it may not always be the most critical factor when selecting a security metric. This is because a metric that is aligned to the IT strategy may not necessarily be effective in measuring information security, and vice versa.

Defining the metric in qualitative terms, as in option C, is not ideal because qualitative metrics are subjective and difficult to measure. This makes it hard to track progress and make objective decisions based on the results.

Ensuring the metric is repeatable, as in option D, is important but not the most important factor when selecting a security metric. Repeatable metrics are important for consistency in measurements, but if the metric is not defined in quantitative terms, its repeatability may not be useful in measuring security effectiveness.

In summary, the most important factor when selecting an information security metric is defining the metric in quantitative terms. This ensures that the metric is measurable, objective, and provides useful data for decision-making processes.