As risk teams face growing pressure to quantify risk in financial terms, qualitative scoring systems create blind spots. That’s why many risk professionals turn to the FAIR model (Factor Analysis of Information Risk): a methodology that offers a structured, quantitative approach to risk analysis.
With support for the FAIR model in Drata’s Integrated Risk Management platform, your team can quantify risk with confidence—all within Drata.
The Challenge: FAIR Model Meets Workflow Friction
Quantitative risk analysis with the FAIR model is a gold standard in the industry, but it comes with unique data requirements.
Metrics like loss event frequency, probable loss magnitude, and secondary risk factors are essential to FAIR, but historically, many platforms struggled to accommodate them. That meant security and compliance teams often had to:
- Conduct analysis outside their core risk platform.
- Manually recreate calculations in spreadsheets.
- Lose the benefits of integrated risk management, continuous control monitoring, and centralized monitoring.
With Drata’s custom fields and formulas, FAIR practitioners can capture every critical data point directly in their workflows—keeping everything in one place and connected.
The Solution: FAIR Model, Fully Integrated
Drata supports custom fields and formulas to fully model FAIR assessments right inside the Risk Management tool. That means risk managers don’t have to choose between rigorous analysis and workflow efficiency.
Here’s what’s possible:
- Configure custom fields to capture loss event frequency, threat probability, primary secondary loss magnitude, vulnerability, and more
- Add formula logic that mirrors FAIR calculations to derive Annualized Loss Expectancy (ALE)
- Take risk-informed decisions and document risk treatment plans by creating tasks, Jira tickets, or necessary evidence collection based on FAIR scores.
See how to model FAIR in Drata →
Role-Based Use Cases: Unlock Value by Persona
Here are five use cases where organizations are applying the FAIR (Factor Analysis of Information Risk) model to quantify cyber risk in financial terms:
1. Chief information Security Officer (CISO)
Prioritizing cybersecurity investments often requires CISOs to demonstrate clear business value. For example, when faced with justifying a $1.2M investment in a new EDR/XDR tool, leadership will want more than technical jargon—they’ll need to see the financial rationale behind that decision.
This is where the FAIR model becomes invaluable. By quantifying risk reduction, FAIR helps illustrate the difference in loss exposure with and without the tool. In this scenario, the analysis shows that implementing EDR reduces annualized loss exposure from $3.5M to $1.1M, providing a $2.4M justification for the investment.
2. Chief Risk Officer (CRO) / CISO
Board members increasingly expect cyber risk to be presented in business terms rather than through abstract red/yellow/green dashboards. They want to understand potential financial exposure in the same way they evaluate other business risks, with data they can use to guide strategic decisions.
The FAIR model enables this by converting vague qualitative rankings into quantitative estimates of loss exposure. Instead of color codes, leadership can see clear ranges of probable outcomes—such as a 95% probability that exposure will not exceed $10M. These quantified insights, including metrics like P90 exposure at $7.5M, empower boards to set risk appetite, allocate resources, and plan budgets with confidence.
3. Vendor Risk Manager / CISO
When third-party vendors process sensitive customer data, Legal and Procurement teams often need to evaluate the risk exposure of maintaining those relationships. Simply labeling a vendor as “high risk” isn’t enough—decision-makers need a clear, quantified view of potential financial impact.
Using the FAIR model, organizations can translate vendor risk into business terms by estimating the likelihood and cost of a potential data breach. By factoring in breach frequency, data sensitivity, and potential regulatory fines, FAIR analysis in this scenario shows an annualized loss exposure of $480K. This quantification supports recommendations for stronger contractual clauses and additional monitoring to reduce risk.
4. Chief Financial Officer (CFO) / CISO
When evaluating cyber insurance, companies often face complex choices between policies with different premiums and coverage limits. Leadership needs more than a side-by-side comparison of costs—they need to understand which option provides the best financial protection relative to their actual risk exposure.
The FAIR model supports this decision by modeling expected loss exposure against policy scenarios to identify the most cost-effective coverage. In this case, analysis shows that Policy A covers up to $5M with a $300K premium. Compared to the organization’s annualized loss exposure of $4.3M, this policy delivers the strongest value.
5. Executive Leadership (CISO / CIO) & General Council
With ransomware threats on the rise, healthcare providers face mounting pressure to understand their potential financial exposure. Leadership needs visibility not just into the likelihood of attacks, but also into the full range of costs that could impact operations, patient care, and regulatory compliance.
The FAIR model provides that clarity by quantifying both direct and indirect impacts of a ransomware event—including downtime, ransom payments, forensic investigations, patient care delays, and legal exposure. In this case, the analysis estimates an expected loss of $2.8M, which can be mitigated to $600K through targeted investments in backups and encryption controls.
The Impact: From Manual to Measurable
Adopting FAIR within Drata transforms risk management from a manual, reactive process into a measurable, strategic advantage. Instead of scattered spreadsheets and subjective scoring, teams gain a centralized, data-driven approach that saves time, improves clarity, and strengthens alignment across the business.
- Time saved: No more spreadsheet juggling or duplicate data entry
- Audit clarity: All FAIR inputs, assumptions, and calculations are tracked in one system
- Connected workflows: FAIR is embedded in Drata’s Integrated Risk Management engine for consistency
- Strategic alignment: Risk quantification enables smarter decisions across the business
Why It Matters: GRC Built for What’s Next
Risk quantification isn’t a nice-to-have—it’s becoming a requirement. As security and compliance leaders face increasing scrutiny from executives, auditors, and regulators, the ability to speak in dollars and probabilities becomes a competitive advantage.
By bringing FAIR into Drata, we’re enabling GRC teams to scale risk quantification with confidence, clarity, and control.
Explore how FAIR in Drata helps you quantify risk, accelerate action, and prove impact. → Book a Demo
