Study Guide

Assessing Risk

Qualitative and quantitative assessment, reading a 5 × 5 risk matrix, the limits of risk scores, and why a CVSS score is not a business-risk assessment.

Lesson 5.4 Governance, Risk & Compliance

Once a risk has been described, someone has to decide how serious it is compared with everything else competing for attention. This lesson explains the two ways of doing that, how to read a 5 × 5 risk matrix, and why a vulnerability’s technical score is only one input. It continues the customer-database scenario from Risk.

Stage: Think

Which problem first?

A school has money to fix one problem this term.

  • The hall roof leaks a little every time it rains, which is most weeks. Buckets catch the water; nothing is damaged.
  • The science block could be destroyed by a fire in its old wiring. There has never been a fire, and an electrician thinks one is unlikely but possible.

Think it through

Which would you fix first, and what did you have to weigh up to decide?

Show what happens

Most people weigh two things: how likely each problem is, and how bad it would be. The roof is almost certain but minor; the fire is unlikely but severe. Neither answer is obvious, and two people can disagree unless they agree what “likely” and “bad” mean. A risk assessment makes that weighing consistent, so that risks can be compared and the reasons can be checked.

Stage: Explain

Qualitative and quantitative assessment

There are two ways to say how big a risk is, and a weather forecast uses both. “Heavy rain likely” is a description. “An 80% chance of 12 millimetres” is a measurement. Both are useful, for different purposes.

Risk = Impact × Likelihood is the usual starting point. What the answer means depends entirely on what kind of numbers go into it.

Qualitative assessment uses descriptions: Low, Medium and High, or a score from 1 to 5. Giving the descriptions numbers does not turn them into measurements. They are ordinal, which means they put things in order, like finishing positions in a race. Second place is behind first, but it is not “twice” first. In the same way a likelihood of 4 is higher than a 2 without being twice as likely.

Quantitative assessment estimates quantities with meaningful units, such as pounds lost per incident and an expected event frequency. Numerical detail does not eliminate uncertainty: scope, assumptions, evidence quality and changes in the environment still affect the estimate.

Check your understanding

On a 1 to 5 scale, risk A has a likelihood of 4 and risk B a likelihood of 2. What can you say?
Show the answer

Answer: A. A is rated more likely than B, but not twice as likely.

Ratings like these are ordinal: 4 is higher than 2, but the scale says nothing about how much higher.

Reading the 5 × 5 matrix

A score only means something if the organisation has written down what each number stands for. Here are the scales a fictional organisation uses.

ScoreLikelihood: how often is it expected?Impact: how bad would it be?
1Not expected in the next five yearsA nuisance: under an hour’s disruption, no personal information involved
2Possible, but not expected this yearMinor: a few hours’ disruption, or a little non-sensitive information exposed
3Could well happen once this yearModerate: a day’s disruption, or some personal information exposed
4Expected about once this yearMajor: several days’ disruption, or many people’s personal information exposed
5Expected several times this yearSevere: the organisation cannot operate, or highly sensitive information about many people is exposed

With those definitions, two people rating the same risk have something to agree or disagree about. The matrix multiplies the two scores.

5 × 5 risk matrix

Likelihood increases upwards; impact increases to the right. Each cell shows likelihood × impact and an illustrative risk band.

Likelihood (rows) against impact (columns)
Likelihood ↑ / Impact →1Minor2Limited3Moderate4Major5Severe
5Almost certain5Medium10High15High20Very high25Very high
4Likely4Low8Medium12High16High20Very high
3Possible3Low6Medium9Medium12High15High
2Unlikely2Low4Low6Medium8Medium10High
1Rare1Low2Low3Low4Low5Medium

Illustrative bands: Low 1–4 · Medium 5–9 · High 10–16 · Very high 17–25. Organisations define their own scales and escalation thresholds; these are not universal acceptance limits.

In this example, likelihood 4 and impact 5 give 4 × 5 = 20. In this illustrative matrix, that falls in the Very high band. It helps prioritise a discussion within the chosen scheme; it is not £20 of loss, a 20% probability or a universal acceptance decision.

Stage: Experiment

Try it: rate a risk

Think it through

Risk C: likelihood 1, impact 5, a rare disaster. Risk D: likelihood 5, impact 1, a frequent nuisance. Before you try the panel: which is the bigger risk?
Show the answer

Answer: C. They score the same, but need different responses.

Both score 1 × 5 = 5 × 1 = 5. The matrix gives them the same rank, but a rare disaster and a frequent nuisance call for different responses, which the score alone hides. Try it in the panel.

Try it: rate a risk on the organisation’s scales

Choose a likelihood and an impact. The panel multiplies them, places the score in the matrix’s band and lists every other rating with the same score. In the grid, the chosen cell is marked and cells with the same score are outlined.

Very high Likelihood 4 × impact 5 = 20, in the Very high band.

The same score comes from likelihood 5 × impact 4.

The scales and bands are a fictional organisation’s, as in the 5 × 5 matrix. The score ranks risks within this scheme; it is not a measurement.

Important limits of ordinal scoring are:

  • The intervals are not necessarily equal. A category rated 4 is not necessarily twice as likely as category 2. A score of 20 is not evidence of twice the expected loss of a score of 10.
  • The product hides differences. Likelihood 1 × impact 5 and likelihood 5 × impact 1 both produce 5, but a rare severe event and a frequent minor event can need different responses.
  • Labels need definitions. “Likely” needs a time horizon and assessment criteria. “Severe” needs consequences that make sense for this organisation.
  • Boundaries are choices. The coloured bands here are illustrative. Another organisation may set different escalation thresholds and must document why.

The matrix supports communication and comparison when applied consistently. It should accompany a scenario, evidence, assumptions and an owner, rather than replace them. High impact alone also does not determine the overall risk without considering likelihood and context.

Rating the customer-database risk before and after stronger access controls

Illustrative ratings on the organisation’s 5 × 5 scales. The scores are computed from the ratings and placed in the same bands as the matrix.

  1. Before: passwords only, broad permissions

    Likelihood 4 (Likely) × Impact 4 (Major) = 16 · High

    Staff credentials are regularly targeted by phishing and a stolen password alone gives access, so unauthorised access is judged likely. The records are sensitive, so the impact is major.

  2. After: multi-factor authentication and reviewed permissions

    Likelihood 2 (Unlikely) × Impact 4 (Major) = 8 · Medium

    A stolen password is no longer enough on its own, so access is judged unlikely. The data is just as sensitive, so the impact rating does not change.

16 is not twice as much risk as 8. The ratings are rankings on this organisation's scales; what matters is that the risk moved from the High band to the Medium band, and why.

Stage: Explain

Choosing between qualitative and quantitative assessment

AspectQualitativeQuantitative
InputsDescriptive ratings, such as Low to High or 1 to 5, defined by the organisation.Estimates with units, such as pounds per incident and incidents per year.
OutputA ranking or band that supports discussion and prioritisation.An estimated loss figure, such as Annualised Loss Expectancy.
StrengthsQuick, works when data is scarce and is easy to communicate.Can be compared directly with the cost of a control.
LimitsThe numbers are rankings, and the band boundaries are choices.Only as good as the data and assumptions, and can look more precise than it is.
Example in this guideThe 5 × 5 risk matrix.SLE × ARO = ALE. See Quantifying Impact.

Many organisations use both: a matrix to sort a long list of risks, and quantitative estimates for the few where a spending decision needs one. Whichever method an organisation uses, its own documented methodology, with defined scales, criteria and owners, is what governs real decisions. The scales in these lessons are simplified teaching examples.

Check your understanding

A board must decide whether a £40,000 control is worth buying to reduce one particular risk. Which kind of assessment helps most with that decision?
Show the answer

Answer: B. Quantitative: a loss estimate can be set against the cost.

A quantitative estimate, such as an expected loss per year, can be compared directly with the cost of the control. A band cannot, which is why organisations often use both.

Stage: Discover

Technical severity and business risk

CVSS (the Common Vulnerability Scoring System) gives a software weakness a severity score from 0 to 10. A score of 9.8 is in the top band, critical. It describes how serious the weakness is in general: how easy it is to use and how much damage it could do.

Think it through

The same weakness, scored CVSS 9.8, is found on two systems: an internet-facing application full of customers’ details, and an isolated test system holding made-up data. Is the risk the same on both?
Show the answer

Answer: B. No: who can reach each system and what it holds change the risk.

The weakness is identical, but the exposure and the consequences are not. Rating both on the organisation’s scales shows how far apart the two risks are.

A CVSS score says nothing about any particular organisation, so a CVSS score is not a business-risk assessment.

To see the difference, take two systems in the fictional organisation that both have the same weakness, scored 9.8.

ConsiderationSystem ASystem B
SystemInternet-facing application with sensitive customer information.Isolated test system containing synthetic data.
Technical findingThe severe vulnerability remains a valid finding.The same vulnerability remains a valid finding.
Exposure to examineWhich external routes and accounts can reach the affected service?Is the claimed isolation effective, and are there access paths through users, administration or dependencies?
Business consequencesDisclosure and disruption may affect customers and essential operations.Synthetic data may reduce disclosure consequences, but interruption or onward access may still matter.
DecisionAssess evidence, impact and treatment urgency in context.Assess the actual controls and dependencies; do not equate “test system” with zero risk.

Now rate both on the organisation’s 5 × 5 scales.

  1. System A, likelihood. It can be reached by anyone on the internet, and the weakness is publicly known. An attempt is expected this year: 4.
  2. System A, impact. Many customers’ personal information would be exposed and the service would be down for days: 5.
  3. System A, score. 4 × 5 = 20, in the Very high band. It goes to the top of the list.
  4. System B, likelihood. The assessor first checks the claim that it is isolated, and finds that it can be reached only from two administrators’ computers. An attack is possible but not expected: 2.
  5. System B, impact. Its data is made up for testing, so nothing personal can be exposed, and losing it for a few hours would hold up one team: 2.
  6. System B, score. 2 × 2 = 4, in the Low band. It is still fixed, at the next routine update.

The result: one weakness, one CVSS score of 9.8, and two risk scores of 20 and 4. Nothing about the weakness differs between them. What differs is who can reach the system and what would be lost.

Change one fact. Suppose step 4 had found that System B was not really isolated, because an administrator’s account could reach both it and System A. System B would then be a stepping stone to the customer data, and its rating would rise sharply. “It is only a test system” is a claim to check, not a reason to stop looking.

The working runs in one direction only. A CVSS score cannot be converted straight into a matrix rating, a probability or an ALE value: the organisation’s own facts have to be added.

FIRST’s CVSS guidance distinguishes intrinsic Base characteristics from Threat and Environmental considerations. Using those additional metrics can refine severity for the relevant conditions, but still does not replace the organisation’s wider assessment of loss, obligations and objectives.

The security report should retain the finding and its technical severity, explain exposure and potential impact, recommend action and identify uncertainty. An authorised owner decides the response and records any acceptance or escalation. Limited resources do not make the finding disappear, and risk acceptance cannot cancel applicable obligations. See GRC for decision ownership and Security Documentation for supporting records.

Stage: Explain

Evidence-based, not fear-based

Security programmes should be evidence-based rather than fear-based. In assessment, that means recording why each rating was chosen, what evidence supports it and what is uncertain. A rating that nobody can explain is hard to challenge, compare or update when things change.

A useful risk assessment can be reviewed by someone else. For each rated risk, record the scenario in a sentence, the likelihood and impact ratings with their reasons, the evidence used, the owner and when it will be reviewed. That record is what lets a manager make, and later defend, a decision.

Stage: Apply

Apply it in a new situation

These questions use the lesson in situations it has not shown. For the strongest test of your understanding, come back to them on another day and answer each one at the first attempt.

Apply it

A college rates two risks: a flood in the basement server room (likelihood 1 × impact 5) and printer jams during exams (likelihood 5 × impact 1). A manager says: “Both score 5, so they need the same plan.” What is the best response?
Show the answer

Answer: B. Disagree: a rare disaster and a frequent nuisance need different plans.

The scores tie, but the risks are different in kind: one needs recovery planning for a rare disaster, the other a fix for a frequent annoyance. The matrix ranks; it does not choose the response.

Apply it

A scan reports a CVSS 9.8 weakness on an office printer that can be reached only from one small, isolated network. The manager wants everyone to stop work and fix it today. What should come first?
Show the answer

Answer: C. Check who can really reach it and what it could affect, then rate it.

Keep the finding and its score, check the claimed isolation and what the printer could reach, and rate it on the organisation’s scales. That rating, not the CVSS score alone, sets the priority.

Stage: Check

Check your understanding

These questions come from the approved revision bank. Choose an answer and check it; the explanation and its sources follow.

  1. Which example is a quantitative estimate rather than an ordinal category score?

    Show answer

    Answer: Estimated pounds lost per incident multiplied by expected incidents per year.

    Financial loss and expected frequency have meaningful units. Numbered categories can remain ordinal: arithmetic does not turn ranks into measured probabilities or pounds. Quantitative estimates still depend on assumptions.

    Revision sources: Session 4: Governance, Risk and Compliance — In Depth (Classroom session record) · Risk (Supplementary Study Guide explanation)

  2. An ordinal 5 × 5 risk score of 20 proves twice the expected financial loss of a score of 10.

    Show answer

    Answer: False

    Category intervals need not be equal, and a product of ranks is not a financial-loss ratio. Retain the scenario, evidence, time horizon and uncertainty alongside a prioritisation score.

    Revision sources: Session 4: Governance, Risk and Compliance — In Depth (Classroom session record) · Risk (Supplementary Study Guide explanation)

  3. Two systems have the same CVSS base score of 9.8. Which additional factors should influence business-risk assessment? Select all that apply.

    Show answer

    Answer: Whether each service is internet-facing and reachable by relevant attackers.; Information sensitivity, operational dependencies and potential harm.; Evidence that isolation or other controls actually work.

    Base severity describes technical characteristics, not an incident probability or complete business risk. Exposure, consequences and effective controls can make the organisational risks different, even with the same technical finding.

    Revision sources: Session 3: Governance, Risk and Compliance (Classroom session record) · Session 4: Governance, Risk and Compliance — In Depth (Classroom session record) · Risk (Supplementary Study Guide explanation)

Study and revision

Practise assessment methods and CVSS in context through the Risk Management topic. The questions are learning-only, with no verified exam alignment.

Stage: Consolidate

What to remember

  • Qualitative assessment ranks risks with defined descriptions; quantitative assessment estimates quantities with units.
  • Matrix scores are rankings. A score of 20 is not twice a score of 10, and equal scores can hide different risks.
  • Scales need written definitions, or two people’s ratings cannot be compared.
  • CVSS describes a weakness, not the risk to this organisation; exposure and impact have to be added.
  • Record the reasons and evidence for every rating, so that the decision can be checked.

Common misunderstandings

Matrix ratings are rankings. The steps between them are not equal, so their products cannot be compared as ratios.

Numbers organise judgements. They are only as reliable as the evidence and the definitions behind them.

CVSS describes technical severity. Priority also depends on exposure, business impact, existing controls and the organisation’s criteria.

Lesson sources and acknowledgements

Sources and scope

  • Taught in Session 3 (see the Session 3 Learning Log): Risk = Impact × Likelihood; the CVSS 9.8 example; technical severity and business risk as different questions; the consultant’s role in documenting findings for an authorised decision.
  • Taught in Session 4 (see the Session 4 Learning Log): qualitative and quantitative assessment; the 5 × 5 risk matrix; CVSS in context; evidence-based rather than fear-based security.
  • Moved from an earlier lesson: “Qualitative and quantitative assessment”, “Reading the 5 × 5 matrix” and “Technical severity and business risk” were previously part of Risk and keep their headings and anchors here; their wording was revised on 13 October 2026. They develop the supplied, reconstructed GRC educational reference, which gives the System A and System B comparison. No vulnerability identifier or scoring vector was supplied for the CVSS 9.8 example, so none is given.
  • Supplementary explanation: the weather-forecast comparison, the explanation of ordinal numbers, the fictional five-point likelihood and impact scales, the ratings given to System A and System B on them with the “change one fact” variation, the worked before-and-after rating, the comparison table, the practical note and the misunderstandings. The matrix scales and bands are illustrative, not an organisation’s actual methodology.
  • Guided version (published 1 November 2026, awaiting the site owner’s editorial review): the school roof-and-wiring opening, every question asked in the lesson with its feedback and hints, the college and printer examples, the rating panel and the closing summary are supplementary explanation written for the Study Guide. The settings are fictional. The questions in the lesson’s steps are not revision-bank items; those in “Check your understanding” are, unchanged.
  • No practical work is claimed. I have not carried out a professional risk assessment.