Acording to ISO 1000:2018 Risk is the effect of uncertainty on objectives.

Consists of a relevant threat that exploits a vulnerability with the consequence that an asset gets harmed




Is is a core part of risk management and includes three key steps:
regularly (e.g. annually or as needed)snapshot of current risk levelsdone in iterations:Broad scan -> deeper analysis of key risks
What could go wrong?”, “How might this be misused?”, “Where could unauthorised access occur?”Focusing on threats helps reveal the assets most likely to be affectedA
fullasset inventoryisn’talwaysnecessary, butknowingyour keyassetsimproves the relevance and focus of risk identification
Several university departments (HR, Admissions, Finance) allow staff to work remotely and access shared files through a cloud-based login system. A staff member recently used their personal laptop - not encrypted, missing security updates - to log in and download documents while connected to public Wi-Fi at a café.
Basic Approach
Practical Approach
[Asset] may be compromised due to [vuln] exploited by [threat], leading to [impact].
Threat Modeling: Next Week)Asset: Anything that has value to a person or organisation.
| Attribute | Description |
|---|---|
| ID | Unique identifier for the asset |
| Type | Data, systems, infrastructure, roles |
| Class | Specific item or group of similar assets |
| Data Type | Logs, documents, personnel, financial, etc. |
| Owner/Responsible Party | Entity that owns and/or manages the asset |
| Location | Logical or physical location |
| Business Function | Supported process or operational dependency |
| Data Classification | Sensitivity level (e.g. confidential, internal, public) |
| Impact | Harm caused by breach of confidentiality, integrity, or availability |
Only include attributes relevant to the asset type being assessed.
Next Week Threat modelling identifies and describes ways attackers might harm your systems
Understanding impact is essential for prioritising risks and response actions.
When an incident occurs, impacts can include:
Not all impacts apply to every incident. Assess which aspects are relevant and evaluate their overall severity-this can be complex but is critical for effective risk analysis.
Later in this lecture, we’ll explore how impacts can be measured-either qualitatively (e.g. high/medium/low) or quantitatively (e.g. cost, downtime).

will not be discussed today)
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Typical attributes include:
|
| Score | Likelihood | Interpretation |
|---|---|---|
(High) 5 |
Certain | Motivated threat actors can easily execute the threat scenario. Incident likely within a week. |
| 4 | Likely | Threat actors are likely to succeed. Incident may occur within a few months. |
| 3 | Possible | Feasible under some conditions. Incident may occur every couple of years. |
| 2 | Unlikely | Low opportunity for success. Incident might occur once in decades. |
(Low) 1 |
Rare | No practical opportunity. Incident is highly improbable. |
Organisations can customise the scale based on their threat landscape.
| Score | Impact Level | Interpretation |
|---|---|---|
(High) 5 |
Disastrous | Severe harm to assets, services paralysed, major financial loss, possible bankruptcy. Long-term recovery needed. External dependencies may also fail. |
| 4 | Major | Major harm, serious service interruption, and high financial loss. Considerable recovery resources required. Some impact on external functions. |
| 3 | Significant | Noticeable asset damage, service interruption, and financial loss. Recovery needs structured effort. Minimal external impact. |
| 2 | Minor | Limited damage with little to no service impact. Small financial loss; manageable with moderate resources. |
(Low) 1 |
Insignificant | Negligible harm, no service interruption, handled within routine operations. No meaningful financial loss. |
This scale can be tailored to align with your organisation’s environment and risk tolerance.
e.g. Likely + Impact = 4 + 4 = 8 → High Risk)

|
Risk is usually calculated as: RQuant = PQuant × VQuant We’re trying to turn a qualitative rating into a number that reflects how often something might happen in a year. |
To use likelihood in risk calculations, we convert it into an estimated frequency per year.
5 (“Certain”) be the baseline, occurring 5-5, 4-5, 3-5, etc.If Level 3 = “Possible” and
This method allows consistent and scalable frequency estimates for risk calculations.
let's complete it)| Exponent ( |
Formula | Interpretation | ||
|---|---|---|---|---|
| 5 (Certain) | 50 | Every week | ||
| 4 (Likely) | ||||
| 3 (Possible) | ||||
| 2 (Unlikely) | ||||
| 1 (Rare) |
| Level | Estimated Frequency |
|---|---|
| 5 | Every week |
| 4 | Every 2 months |
| 3 | Every 2 years |
| 2 | Every 20 years |
| 1 | Every 200 years |
This conversion mirrors how risks naturally vary - making risk estimation both realistic and structured.
Uses a logarithmic scale to convert qualitative impact into monetary terms
Highest impact level (Level 5) is assigned a reference value, e.g.
Lower levels are scaled down by powers of 10:
| Exponent Calculation | Formula | Interpretation | ||
|---|---|---|---|---|
| 5 (Disastrous) | £10,000,000 | Total failure or bankruptcy | ||
| 4 (Major) | £1,000,000 | Significant financial loss | ||
| 3 (Significant) | £100,000 | Major service disruption | ||
| 2 (Minor) | £10,000 | Recoverable with effort | ||
| 1 (Insignificant) | £1,000 | Easily absorbed loss |
This model ensures impact estimates are consistent, scalable, and aligned with business size.
Once we’ve estimated likelihood and impact quantitatively:
This gives the expected annual loss in monetary terms and helps compare and prioritise risks.
| 3 | -2 | 4 | -1 | £10M |
£500,000 | |
| 2 | -3 | 3 | -2 | £10M |
£5,000 | |
| 5 | 0 | 5 | 0 | £10M |
£500,000,000 |
The values reflect relative severity, not how often loss actually occurs.
High risk scores support investment decisions and control priorities.
If
→ It doesn’t mean the company will go bankrupt every week.
Severe incidents often lead to one-time loss followed by recovery or stronger controls.
In such cases, the expected loss = impact,
and the likelihood shows how soon it could happen.
Shows the relative severity across risks - not literal recurrence.
Use the result to prioritise risks and allocate appropriate resources.
After risk analysis, we choose how to respond to unacceptable risks:
Controls should be considered if:
ROI = Risk Reduction − Cost is positive
Residual risk remains after treatment and must be:
understood, monitored, and justified.
Risk management is continuous - not a one-time action.
| **$P_{Qual}$ (Level)** | **Exponent ($x = P_{Qual} − 5$)** | **Formula** | **PQuant (Events/Year)** | **Interpretation** | |-------------------|----------------------------------|--------------------------|---------------------------|-----------------------------| | 5 (Certain) | $x = 5 - 5 = 0$ | $50 \cdot 10^0$ | 50. | Every week | | 4 (Likely) | $x = 4 - 5 = -1$ | $50 \cdot 10^{-1}$ | 5. | Every 2 months | | 3 (Possible) | $x = 3 - 5 = -2$ | $50 \cdot 10^{-2}$ | 0.500 | Every 2 years | | 2 (Unlikely) | $x = 2 - 5 = -3$ | $50 \cdot 10^{-3}$ | 0.050 | Once every 20 years | | 1 (Rare) | $x = 1 - 5 = -4$ | $50 \cdot 10^{-4}$ | 0.005 | Once every 200 years |