Cyber Risk Quantification & Decision Intelligence

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Implement MDR Program Chart

NIST CSF v2.0

Likelihood Maturity

Implement MDR

Program to implement an MDR solution

Budget

$250,000

Planned Activity Cost

$72,500

Planned Program Effort

8 week(s)

Planned Activity Effort

8 week(s)

Planned ROI

$65,315 per point

Actual ROI

$76,577 per point

Only Qualitative Risk Assessments	Cyber Risk Quantification with CyberHQ^®
Budget approval challenges as the board cannot translate technical language into business decisions.	CyberHQ^® translates every risk into financial exposure the board can interrogate and act on.
Risk rated as High, Medium, or Low with no financial anchor, a language the board does not understand.	Risk expressed as monetary exposure using Annualized Loss Expectancy.
Likelihood and impact assessed subjectively, varying by assessor.	Loss distributions modelled probabilistically via Monte Carlo simulation: consistent, auditable, and repeatable.
A red, amber, and green dashboard that the board acknowledges and immediately forgets.	Board reporting in financial exposure per threat scenario, not just red, amber, and green.
Security spend justified by severity rankings the business cannot connect to financial outcomes.	Investments justified by projected risk reduction per dollar (Security-per-Dollar).
Scenario planning is a manual exercise that produces different results every time and cannot be defended.	What-If modelling run continuously against live risk data.
No AI layer to connect financial exposure to prioritized investment decisions.	Avertro Intelligence generates decision-grade recommendations from your quantified risk data: transparent, auditable, and defensible.

Annualized Loss Expectancy Per Threat Scenario

CyberHQ^® calculates Annualized Loss Expectancy (ALE) for each threat scenario using industry loss models and your organization's internally defined cost structures. Every figure is tied to a specific business service, making financial exposure visible.

Loss Exceedance Modeling

CyberHQ^® runs each scenario 10,000 times using Monte Carlo simulation to calculate the likelihood of different levels of financial loss. You get a full loss exceedance curve, not a single-point estimate, giving your risk committee the statistical confidence they require for capital allocation and investment decisions.

Scenario & Project Modeling

The What-If engine lets you simulate the financial impact of any proposed security investment before committing spend. Define a project, model the risk reduction it delivers, and express the outcome in dollars removed from the balance sheet. Every investment decision becomes defensible.

Threat-Informed Financial Exposure

CyberHQ^® connects financial exposure directly to the threat scenarios that matter most to your organization: ransomware on cloud systems, supply chain compromise, OT disruption. Each scenario is modelled using your real environment and business context, so the financial exposure figures reflect your actual risk profile, not a generic baseline.

AI-Assisted Threat & Scenario Modeling

Avertro Intelligence simulates real-world attack scenarios and threat pathways, mapping attacker behavior to controls, vulnerabilities, and business services. Every scenario is evaluated in terms of business impact, giving security leaders the financial context to prioritize with confidence, not instinct.

Decision-Grade Risk Intelligence

CyberHQ^®does not rely on black-box AI. Avertro Intelligence combines advanced analytics, machine learning, and AI-assisted modelling to generate transparent, auditable investment recommendations. Every output is designed to be interrogated by a CFO, defended in front of a board, and acted on with confidence.

What is Cyber Risk Quantification?

Cyber Risk Quantification (CRQ) is the process of translating cyber threats and control gaps into concrete financial terms. CyberHQ® uses industry-standard loss models, including Annualized Loss Expectancy, combined with your organization's own cost structures to produce financial exposure figures your board and risk committee can act on.

How does Scenario and Project Modelling work?

The What-If engine simulates the financial impact of a proposed security investment before you commit spend. In a Program, model control improvements and get an ROI figure measured as spend per point improved. In Threat Modelling, add or remove controls to see the impact on both cost of improvements and annual loss expectancy.

How does CyberHQ® calculate financial exposure?

CyberHQ^® calculates financial exposure by estimating how often an event is likely to occur and how costly each occurrence would be. This produces an Annualised Loss Exposure: a single number representing your expected annual financial risk from that scenario.

Who is Cyber Risk Quantification designed for?

CISOs who need to defend security spend with financial precision, CROs quantifying cyber risk in business terms, and risk committees requiring quantified exposure data for capital allocation and board governance.

What is Loss Exceedance Modelling?

Loss Exceedance Modelling uses Monte Carlo simulation to calculate the probability of experiencing different levels of financial loss across thousands of scenarios. Rather than a single-point risk estimate, you receive a probabilistic distribution that quantifies tail risk: the data your risk committee and capital allocators require for informed decisions.

How is CRQ different from traditional risk scoring?

Traditional risk scoring assigns qualitative ratings, high, medium, low, based on likelihood and impact assessments that can vary by assessor and carry no financial weight. CyberHQ^® sits above this and transforms those assessments into monetary exposure figures grounded in historical data from your own organization and broader industry research and reporting and industry loss models. Every risk carries a number your CFO can interrogate and your board can act on.

Make Every Security Decision Defensible

Every Security Investment is Defensible

Financial Exposure, Not Just Severity Scores

Figures that Hold Up Under Scrutiny

What Changes When You Quantify Your Cyber Risk

Key Capabilities

Annualized Loss Expectancy Per Threat Scenario