Annualized Loss Expectancy (ALE)
What is Annualized Loss Expectancy (ALE)?
Annualized Loss Expectancy, or ALE, is a risk calculation that estimates the expected financial loss from a specific threat over one year.
Examples
- A company estimates how much ransomware could cost each year by combining the likely cost of one incident with how often it expects that incident to happen.
- A business uses ALE to decide whether buying a better backup solution is cheaper than absorbing the expected yearly loss from outages.
Discover 🔎
Security teams are often asked difficult business questions, not just technical ones. Which risks matter most? Which controls are worth the cost? Where should limited budget go first? To answer those questions well, it helps to translate risk into something decision-makers can compare clearly. Annualized Loss Expectancy is one way to do that.
ALE gives an estimate of how much money a particular risk may cost over the course of a year. It does not predict the future with perfect accuracy, but it gives organizations a structured way to think about probable loss. That makes security conversations more practical because the discussion moves from vague concern to measurable impact.
Summary 📝
Annualized Loss Expectancy is a way to estimate how much money a particular risk may cost an organization each year. It is calculated by multiplying the cost of one incident by the expected number of times that incident may occur annually. ALE helps security teams explain risk in business terms, compare priorities, and support smarter decisions about controls and spending.
Tip: The interactive version includes progress tracking, decks, and premium deep dives.