What does it mean to measure cyber risk in financial terms?
Your financial performance is directly linked to your business activities. When one of these activities is interrupted for any amount of time, you can face financial loss. The loss can be via production shutdown, reputational damage or even fines and judgements. Our CRQ approach measures the statistical probability of a loss event and the range of financial loss you could incur as a result.
Use business metrics to defend strategic cybersecurity decisions
An actionable timeline can be established based on risk frequency and cost
Regulatory reporting and oversight requirements are fulfilled for DORA, IDW PS 340, or the SEC with CRQ
Map your business processes and discover your digital crown jewels
Risk scenarios identify cybersecurity controls that could benefit from increased investment or areas where you are overspending
Demonstrate financial performance of cybersecurity budget decisions with cyber risk quantification
We collaborate with risk professionals, IT teams, CISOs, and executive management, delivering data-driven solutions that elevate cybersecurity compliance and governance. We transform data and information into actionable knowledge that strengthens your cybersecurity approach and minimize cyber risk. Coming from diverse backgrounds in risk management, cybersecurity, information systems, engineering, and financial markets, our FAIR-certified analysts are uniquely equipped. Being platform agnostic ensures our recommendations are tailored precisely to your needs, maximizing value for your risk management strategy.
Quantifying cyber risks in financial terms enables businesses to make informed decisions, prioritize investments, and measure the ROI of their cybersecurity initiatives, ensuring a proactive and strategic approach to digital defense.
Be on the cutting edge of cyber risk analysis by mastering CRQ using the FAIR standard and methodology. This globally recognized approach enables you to quantify and manage cyber threats.
Our solutions are built on the C-Risk knowledge library of quantifiable risk scenarios and corresponding data sets. We feed our data model using industry standard control frameworks, security performance ratings, threat capability and frequency data along with financial impact research
We have supported quantification programs for diverse organizations across the globe including Fortune 500, CAC40, critical infrastructure, banking and financial services, healthcare, pharma, retail and luxury brands. Our high client retention rate is evidence of our strong commitment to providing premium cyber and technology risk solutions.
Is your organization poised to ride the next wave of disruption or lead the charge in innovation? C-Risk's Solutions provide data-driven insights that will improve your cyber resilience and help prioritize cyber risk.
There's no need to hire additional risk analysts or implement a tool, our turnkey solution provides all the benefits of a robust CRQ program.
Our team of FAIR-certified risk experts will analyze and document your value chains and the corresponding digital Crown Jewels. We identify, model and quantify your top cyber risks in financial terms and provide executive insight reports. In addition, mapping risk scenarios to MITRE ATT&CK model and your control capabilities provides actionable insights into which security controls should be prioritized.
Jumpstart an internal CRQ program with C-Risk. In only a few weeks you will be able to present your first risk scenarios to the board and demonstrate the value of a CRQ program, while we work in the background to build your internal capabilities, identify and implement the right tool and develop relevant use cases in the context of your organization.
As you learn how to quantify risk, and use the insights to support investment decisions and gain buy-in from internal stakeholders, our team will gradually step back to let your organization scale.
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If you need insight into a specific use case, our C-Risk experts are available to provide support when your team needs additional capacity or specific expertise on a topic.
We offer a range of advisory and consulting services. Whether you need help with a tool, building a knowledge library or support for cybersecurity due diligence during an M&A process, we have the resources and skills to make it happen.
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C-Risk has developed a range of Cyber Risk Quantification training courses. In addition to our CRQ training courses, we offer an executive briefing in cyber risk economics.
Designed for professionals new to the world of Cyber Risk Quantification, this introductory course provides a basic understanding of the FAIR standard and its application. Tailored to ensure accessibility for non-practitioners.
An intensive dive into CRQ analysis, tailored for professionals looking to step up their knowledge. This practitioner-oriented course promises an in-depth understanding of the FAIR methodology and its real-world applications, as well as preparation for the Open FAIR Certification exam.
Key Topics: Defining risk using FAIR, qualitative vs.quantitative methods, data collection, risk scenario scoping, Monte Carlo simulations, and preparation for the Open FAIR Certification exam.
Designed for decision-makers on the board or in senior management, this briefing demystifies Cyber Risk Quantification. By providing a concise yet comprehensive overview of CRQ methodologies, leaders will be empowered to make informed cybersecurity risk management decisions.
Key Topics: Core principles of CRQ, benefits to cybersecurity governance and risk management, and strategic value of adopting CRQ methods.
Understand the potential financial impact of your top cyber risks, align your cybersecurity strategy with business objectives and risk appetite, and improve cybersecurity governance and oversight.
Leverage Cyber Risk Quantification to measure and communicate which initiatives are reducing the financial impact of cyber incidents and demonstrate the ROI of your cybersecurity strategy.
Adopt an open and transparent risk quantification approach with the FAIR Standard to assess and report cyber and technology risks in financial terms, ensuring results are data-driven and consistent across the business.
Cybersecurity incidents come at a high cost
Source : Cyentia Institute: Information Risk Insights Study Iris 20/20
There is a 6% chance that a Fortune 1000 firm will lose $100M or more in a 12-month period.*
Financial losses for most cyber incidents is around $200k, but around 10% of cyber incidents exceed $20M.*
Fortune 1000 firms will suffer a loss event this year.*
Our solutions are built on the C-Risk knowledge library of quantifiable risk scenarios and corresponding data sets. This allows us to quickly perform a risk assessment without taking up too much of your organization's valuable time. Our typical analysis starts with interviews to understand your business value chain and supporting IT assets.
We gather business metrics (revenue, number of employees, of clients, etc.) as well as the maturity of your security controls. We then define the risk scenarios to be quantified. We estimate the frequency and magnitude of the identified scenarios using the information collected combined with our own data sets. The entire process can be completed within a few days thanks to our streamlined methodology. We can quantify your total cyber risk exposure by aggregating scenarios. Scenarios are typically defined by IT asset, per BU, per type of threat, and impact.
C-Risk will help you build a resilient, risk-based CRQ program that goes beyond compliance requirements and provides data-driven insights for robust governance and defendable decision-making.
C-Risk partners with top-tier technology firms and cyber-risk institutions to provide our customers with cutting-edge tools and the latest insights and research in the field of cyber risk quantification.
Cyber Risk Quantification (CRQ) is the process of evaluating cyber risks in financial terms. Our definition of risk, which is the "probable frequency and probable magnitude of future loss," is based on the FAIR™ standard taxonomy.
These two key concepts break down further:
Frequency: How many times is a loss event likely to occur in a particular timeframe?
Magnitude: When the loss event occurs, how costly will the loss be?
Then we break down the loss event into loss types.
Loss types describe the many ways your organization or digital assets can be impacted: productivity loss, response loss, replacement loss, fines and judgements, competitive advantage, and reputation damage.
When you add up the cost of the probable magnitude and probable frequency of all the loss types, you are able make informed decisions about your cybersecurity strategy.
The FAIR™ standard is a framework designed for cyber risk analysis across all business functions. The standard introduces a taxonomy and methodology that bridge the gap between cybersecurity professionals and executive management through financially quantified risk scenarios that can be compared to one another for more informed decision-making.
The FAIR™ taxonomy defines the specific components necessary for risk analysis, such as risk, threat, vulnerability, etc.
The methodology breaks down risk into specific, measurable factors and uses statistics and probabilities to provide a quantitative estimate of risk.
Quantitative methods use numerical values to provide data-driven risk analysis, usually in financial or probabilistic terms. Quantitative methods support objective decision-making and comparison. On the other hand, qualitative methods describe risk using categories such as "low," "medium," or "high" and rely on expert analysis. While qualitative analysis provides a general indication of risk, it is more biased and can be interpreted in different ways.
Let’s talk about your current challenges and your cyber risk management goals. Our experts will provide you with insights on Cyber Risk Quantification (CRQ) approach.