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Annualized Loss Expectancy

Technology risk in annual dollars. The unit your CFO already uses.

Annualized Loss Expectancy (ALE) quantifies your technology risk exposure in dollars per year. It is the same unit your CFO uses for everything else. Some mid-market companies have never calculated theirs. Preside targets a baseline within 30 days, then tracks the reduction quarterly.

SLE × AROthe formula
30 daystarget to your baseline
$ per yearrisk in annual dollars

The Formula

ALE = SLE × ARO

A quantitative risk expression: single loss expectancy times annualized rate of occurrence. A dollar-loss formula of this kind appears as far back as FIPS PUB 65 (1979, since withdrawn). NIST's current risk guidance describes estimating likelihood and impact but does not prescribe this formula. We use it because it turns each risk into annual dollars a CFO can compare.

SLE

Single Loss Expectancy

The dollar impact of one occurrence of a given risk event, including recovery, downtime, and remediation.

Example In this example, a ransomware event affecting an ERP system costs $400,000. The amount is assumed.

ARO

Annualized Rate of Occurrence

How often the event happens per year. Once every five years = 0.20. Roughly once every seven years = 0.15.

Example Assumed in this example: 0.15/yr.

ALE

Annualized Loss Expectancy

Example: one risk0.15 × $400,000 = $60,000/yr

The output A dollar figure per year, in the unit your CFO already uses.

How to Read the Figure

Example: one risk in annual dollars

The formula is the easy part. The hard part is the inputs: which events belong on the list, what each one would cost your company, and how often it can realistically happen given the controls you have today. The same event can carry a very different figure at a different company.

EXAMPLE · ONE RISK

Example: ransomware affecting an ERP system

ALE: $60K per year
RiskSLEAROALE
Ransomware (ERP downtime)$400k0.15$60k

A figure like this lets a board compare a control that costs money against the annual loss it is meant to reduce.

The register behind a real baseline is built from your own contracts, systems, and incident history during an engagement. It is specific to your company, and it is not something a generic list can produce.

Why It Matters Now

ALE can grow whether you manage it or not

Technology risk builds as a company grows. Some companies have no dollar figure for it. Preside targets a first figure within 30 days.

Builds up

Why risk builds over time

Technology risk can compound as the technology footprint, dependencies, threat exposure, and regulatory obligations grow. Every new SaaS platform, integration, regulatory change, and AI tool adds to exposure.

No figure

Why a number helps

Some mid-market organizations operate without a calculated ALE. Risk-matrix colors and "high / medium / low" labels can be hard to defend when a board, an auditor, or a buyer asks for a number.

30 days

Time to baseline with Preside

Our target is a full ALE calculation within the first 30 days of an engagement, with the first quarterly change reported inside the first quarter.

By Industry

Where ALE can concentrate by sector

The risks that matter most differ by sector. Examples:

Financial Services

Vendor breach exposure, legacy authentication in older banking stacks, PCI-DSS compliance, customer data exfiltration. Largest areas: third-party risk and compliance.

Biotech & Pharma

IP exfiltration, regulated data handling, FDA compliance posture, AI-aided research data flows. Largest areas: IP protection and regulatory.

Energy & Utilities

NERC CIP compliance, OT/IT boundary exposure, legacy SCADA encryption, regulatory penalties. Largest areas: NERC CIP and the OT/IT boundary.

Professional Services

Client data exfiltration, shadow AI exposure (legal/finance), email-based wire fraud, vendor compromise. Largest areas: client data and wire fraud.

How Preside Reduces ALE

A four-step quarterly cycle

The same loop runs every quarter: baseline, prioritize, reduce, report. Each cycle builds on the prior one.

01

Baseline

Full risk register built from your own contracts, systems, and incident history. SLE and ARO estimated per risk, with assumptions stated. Total ALE in dollars.

02

Prioritize

Rank by ALE contribution and remediation cost. Highest dollar-impact, lowest effort risks first.

03

Reduce

Targeted controls. Preside may execute directly or manage specialists.

04

Report

Quarterly ALE change in dollars to leadership and sponsors. Clear figures with stated assumptions, ready for board review.

References

Methodology and citations

ALE is not a Preside invention. The underlying idea is decades old. We apply it to mid-market technology risk.

FIPS PUB 65 (1979, withdrawn 1995) Guideline for Automatic Data Processing Risk Analysis. An early federal guideline that described estimating annual loss expectancy from the frequency and dollar consequences of harmful events.
NIST SP 800-30 Rev. 1 Guide for Conducting Risk Assessments. Describes assessing risk from likelihood and impact. It does not prescribe the SLE × ARO formula.
FAIR Institute (Factor Analysis of Information Risk) Open quantitative risk model that expresses risk as loss event frequency and loss magnitude in dollars. A related approach, not the same formula.
ISO/IEC 27005 International standard for information security risk management. Describes qualitative and quantitative approaches to risk estimation.

Put a number on technology risk.

Our target is a baseline within 30 days of engagement, then quarterly tracking.