Single-loss expectancy (SLE) refers to the expected monetary loss each time an asset is at risk. It’s a term that’s most commonly used during risk assessment and attempts to put a monetary value on each single threat.
Where have you heard about single-loss expectancy?
You may have heard single-loss expectancy mentioned in conjunction with annualised loss expectancy (ALE), as it is required for this calculation.
If you’ve looked into a business’ financial records you may have come across these terms, especially where assets are at risk from a specific threat.
What you need to know about single-loss expectancy.
The equation for single-loss expectancy is:
SLE = AV * EF
Asset value (AV) is the value per share as determined on a specific date or time. Exposure factor (EF) is measured as a percentage and calculates the potential loss that could occur to an asset if a specific threat is realised.
For example, if an asset is valued at £100,000 and the exposure factor for the asset is 25%, the single-loss expectancy equals £25,000 (£100,000/25% = £25,000).
As an investor you should be looking for companies with a low single-loss expectancy in order to limit your risk.
Find out more about single-loss expectancy.
Learn more about how you can limit your risk exposure in order to maximise profits and reduce the risk of loss.
The goal of risk management is to deliver optimal security at a reasonable cost. When diving into quantitative risk analysis, you have to think about cost versus benefit, risk handling and types of countermeasures.
Guide quantitative risk analysis with CIA Triad
Risk is related to vulnerabilities, which threaten confidentiality (C), integrity (I) and availability (A) of the assets. This is described as the CIA Triad.
Confidentiality is about not disclosing sensitive information to other people.
Integrity is about preserving the state of the system — we don’t want attackers to change our data.
We do want our systems to be up and running. Hence availability is considered.
What is quantitative analysis?
Quantitative analysis is about assigning monetary values to risk components. Let’s analyze the example of hard drive failure to better understand how it works.
Let’s first describe the threat, vulnerability and risk:
- Threat — hard drive failure
- Vulnerability — backups done rarely
- Risk — loss of data
The asset is data. The value of the asset (AV) is assessed first — $100,000, for example.
Let’s discuss the single loss expectancy (SLE). It contains information about the potential loss when a threat occurs (expressed in monetary values). It is calculated as follows: SLE = AV x EF, where EF is the exposure factor.
Exposure factor describes the loss that will happen to the asset as a result of the threat (expressed as percentage value). SLE is $30,000 in our example, when EF is estimated to be 0.3.
Let’s continue this case. Annualized rate of occurrence (ARO) is described as an estimated frequency of the threat occurring in one year. ARO is used to calculate ALE (annualized loss expectancy). ALE is calculated as follows: ALE = SLE x ARO. ALE is $15,000 ($30,000 x 0.5), when ARO is estimated to be 0.5 (once in two years).
As we can see, the risk is about the impact of the vulnerability on the business and the probability of the vulnerability to be exploited.
Cost and benefit analysis for risk
Let’s continue the example from the previous section. Annualized loss expectancy (ALE) is $15,000. This means that the potential loss is $15,000 in one year, when the data is lost as a result of the hard drive failure. A countermeasure can be used to reduce the potential loss. It happens when the management decides to reduce the risk. This countermeasure should not cost more than $15,000 per year. Otherwise it wouldn’t be logical from a business point of view (we don’t want to spend more money than we can potentially lose). This is basically how cost and benefit analysis works.
Let’s see how the annual value of the countermeasure to the company (COUNTERMEASURE_VALUE) can be calculated:
COUNTERMEASURE_VALUE = ALE_PREVIOUS – ALE_NOW – COUNTERMEASURE_COST, where
ALE_PREVIOUS: ALE before implementing the countermeasure
ALE_NOW: ALE after implementing the countermeasure
COUTERMEASURE_COST: annualized cost of countermeasure (please note that it’s not only purchasing cost — maintenance cost is included).
Risk handling for security
Risk can be handled in the following ways:
- Risk reduction — risk is reduced to an acceptable level (countermeasures implemented; types of countermeasures are described in the next section).
- Risk avoidance — stopping the activity, which leads to the risk.
- Risk transference — the risk is transferred to the insurance company.
- Risk acceptance — accepting the cost of potential loss (no countermeasures).
Countermeasures for risk reduction
Let’s discuss the types of countermeasures (also called controls) that are implemented in the case of risk reduction. There are three types of countermeasures:
- Administrative (security awareness training should not be forgotten, because people are the weakest point in the security chain)
- Technical (firewall)
- Physical (locks)
Countermeasures are implemented to reduce the risk. We talk about total risk when no countermeasure is implemented. Let’s assume now that the countermeasure is implemented. Perfect security doesn’t exist and there is some risk left. This is a residual risk.
Figuring out risk and using quantitative risk analysis
Quantitative risk analysis is important for every business. Single loss expectancy (SLE), exposure factor (EF), annualized rate of occurrence (ARO) and annualized loss expectancy (ALE) are all key parts of figuring out the cost and benefit associated with risk. Learning how to handle and countermeasure risk is important.