CYBER RISK QUANTIFICATION

Tech risk, translated into financial value.

CSURFACE Risk Quantification converts technical telemetry into an estimated expected loss with uncertainty ranges — to enable security conversations in the language of business. The board does not decide based on the number of vulnerabilities; they decide on financial exposure and return on investment. The methodology follows FAIR, calibrated by the IBM Cost of a Data Breach 2025 (Brazil), with VaR P90/P99 and LGPD exposure. For platform customers, the methodology incorporates additional proprietary data — adjusted probability by asset, critical process, and observed business context.

Public methodology, calibration for clients

The public calculator uses sector-specific parameters derived from the IBM Cost of a Data Breach 2025 (Brazil) and the FAIR methodology — available in calculadora-de-risco.html. For clients of the CSURFACE platform, the methodology incorporates additional proprietary data: calibrated probability based on observed real exposure, business context inferred by the agentic layer, critical processes identified on the external surface, and inventory of assets effectively mapped.

THE CHALLENGE

Security and the Board Speak Different Languages

The security team communicates risk in technical terms: vulnerabilities, severity, time to respond, control coverage. These indicators are essential for operations, but they do not answer the question that the board really asks: how much does this exposure cost the company and how much do we reduce with a certain investment?

Without this bridge, budget and prioritization decisions become arbitrary. Qualitative heat maps reflect opinion, and external ratings are only an approximate indicator. There is a lack of quantification that translates cyber risk into financial value with sufficient rigor to support a capital decision.

CAPABILITIES

Cyber risk in business language

Quantification starts from real platform data and delivers results that the board uses to make decisions.

Financial exposure

Technical risk is converted into an estimate of expected loss, expressed in financial terms — the metric that the board uses to make decisions.

Uncertainty bands

The result takes the form of a distribution — expected value and tail scenarios — to communicate uncertainty with rigor.

Investment scenarios

Simulations compare current risk with projected risk after a remediation action, making the return on investment explicit.

Recognized methodology

Quantification follows the FAIR model, a market-standard that decomposes risk into observable and auditable variables.

Continuous update

The estimate is continuous: when a critical exposure is addressed or a new threat emerges, the value is reassessed.

Audit trail

Each estimate exposes its input data and assumptions — ready for risk committees, audits, and cyber insurance processes.

METHODOLOGY

FAIR and simulation, without black box

The CSURFACE adopts the FAIR (Factor Analysis of Information Risk) model, a recognized reference for quantitative risk analysis. Instead of treating risk as an opaque value, FAIR decomposes it into observable variables — the probable frequency of an event and the magnitude of its impact — each estimated as a range.

Based on these ranges, a probabilistic simulation produces a distribution of possible results: the expected value and less likely but more severe scenarios. The platform delivers this analysis supported by explicit input data that can be verified at every assumption.

quantified risk · executive view

Annual expected loss

R$ 21.6 million

▲ +0.7% per month

Value at Risk · VaR 99

R$ 302.4 million

1% chance per year

Event probability

34%

in group · 31% among peers

Projected mitigation

−48%

ALE with prioritized roadmap

Value at Risk by confidence level

VaR 50R$ 21.6M
VaR 90R$ 140.4M
VaR 95R$ 205.2M
VaR 99R$ 302.4M

Annual loss that is not expected to exceed, by confidence level.

Loss excess curve

Probability of exceeding each loss value in the year.

HOW IT WORKS

01

Context Collection

Quantification starts with real platform data — assets, exposures, and control posture — combined with the organization's business context.

02

Quantification

The FAIR model and probabilistic simulation translate these data into financial exposure, with expected value and uncertainty ranges.

03

Decision and Monitoring

Results are presented in executive format, with investment scenarios, and are re-evaluated as the organization's risk changes.

WHAT YOU GAIN

A security conversation that the board understands

With quantified risk, budget and priority decisions are based on analysis.

Informed decision

The board evaluates security investment based on financial exposure and projected return, rather than isolated technical metrics.

Objective prioritization

Attention and budget are directed towards exposures that most reduce the expected loss of the organization.

Defensible communication

Estimates with recognized methodology and auditable trail support dialogue with risk committees, audit, and insurers.

FREQUENTLY ASKED QUESTIONS

FAQ

What is cyber risk quantification?

It translates technical risk into an estimate of exposure in monetary terms. Instead of communicating the quantity of vulnerabilities, the organization communicates how much the exposure may cost — and how much it is reduced with a certain investment. At CSURFACE, risk quantification is available as a module of the platform.

Is the methodology a black box?

No. The quantification follows the FAIR model, which decomposes risk into observable variables. Each estimate exposes its input data and assumptions in an audit trail suitable for risk committees and external audits.

Why does the result come in ranges, not a single number?

Because risk is uncertainty. The probabilistic simulation delivers the expected value and also less likely but more severe scenarios. This allows communicating uncertainty with rigor and choosing the appropriate indicator for each conversation.

Does the estimate become outdated over time?

No. The quantification is fueled by real data from the platform. When a critical exposure is remediated or a new relevant threat emerges, the value is reassessed — reflecting the current risk of the organization.

Quantify your cyber risk in financial terms.

Start with the public risk calculator using the FAIR methodology. Or provide your company's domain and receive an initial external exposure analysis — no card, no meeting.

Receive preliminary analysis