Cyber Risk Quantification to Power Business Decisions
Kovrr's cyber risk quantification (CRQ) platform translates cyber risk into financial metrics that security and business leaders can act on. Covering the full scope of cyber risk management, the CRQ software gives teams the quantified foundation they need to prioritize initiatives, justify investments, and report to leadership with confidence.



Make Smarter Strategic Decisions.
Quantify Cyber Risk Exposure in Financial Terms
Run your first quantification and view modeled loss scenarios across your entire entity portfolio
Explore outputs including average annual loss, 1:100 tail risk, and annual event likelihood
Identify the event types, attack vectors, and risk drivers behind the numbers
Build a Data-Driven Cyber Risk Mitigation Plan
Use control-level recommendations to prioritize the security improvements
Simulate the effect of investments, compliance efforts, and control upgrades
Incorporate real-world incident intelligence into the cyber risk register
Align Cyber Risk With Business Strategy and Insurance
Generate boardroom-ready reports that communicate cyber risk in financial terms
Compare modeled loss distributions against insurance coverage to optimize policies
Track how exposure responds to changes over time with continuous control monitoring
Kovrr’s Cyber Risk Quantification Platform Key Features
Continuous Quantitative Cyber Risk Analysis
Evaluate and assess your enterprise’s financial exposure to cyber risk by quantifying the likelihood and impact of cyber events. Kovrr's modeling methodology uses a Monte-Carlo simulation to produce a highly accurate assessment that takes into account your organization's specific cybersecurity resilience and posture, the threat landscape, and cyber insurance data.
The results are an in-depth array of financial outputs, broken down by events and various business impact scenarios, equipping you to prioritize cyber risk management efforts accordingly.


Business Loss Impact Scenarios
The costs of a cyber event are typically distributed across a number of areas. For instance, in the wake of a data breach, an organization may have to pay compliance and legal fees while also suffering from revenue loss due to compromised systems.
By breaking down these various loss impact scenarios, Kovrr’s cyber risk quantification solution offers cybersecurity leaders and financial planners crucial information, allowing for more targeted risk mitigation initiatives that minimize the likelihood and potential monetary impact of specific loss types.
Risk Progression
Monitoring how an organization’s susceptibility to cyber risks has decreased with time and how this reduction translates into financial savings offers cybersecurity teams a more nuanced understanding of the value of their cybersecurity programs and provides essential data for more informed decision-making.
Kovrr's CRQ platform comes equipped with an easy-to-use Risk Progression feature that illuminates key metrics, enabling organizations to better understand and demonstrate how their organization's cyber risk posture has progressed based on various upgrades and structural adjustments.


Risk Management & Security Control Upgrade Insights
Build data-driven risk mitigation strategies. Kovrr's cybersecurity recommendations enable organizations to lower their cyber risk exposure by operationalizing insights generated by our enterprise-ready models.
Cyber risk management and mitigation recommendations incorporate the most popular cybersecurity maturity frameworks (CIS, NIST, etc.), allowing Kovrr’s model to quantify the different risk profiles of an organization based on familiar security configurations. These recommendations provide the financial impact of upgrading the relative controls to higher maturity levels.
ROI Analysis for Cybersecurity Initiatives & Budget Planning
Understand the potential financial effects of different mitigation activities and compare them with their annualized cost. Kovrr’s platform has a built-in cybersecurity ROI calculator, revealing the potential savings of pursuing a specific cyber risk mitigation initiative.
Use Kovrr's CRQ platform to run what-if simulations based on programs the cybersecurity department would like to implement and quickly receive new quantification results that provide clear ROI metrics for budget planning. Leverage these quantifications to calculate multi-year ROI.


Cyber Insurance Insights
Devising cybersecurity insurance terms that meet your organization’s unique risk posture can be challenging. But with Kovrr's cyber risk quantification platform offering insights into how your policy would perform based on your current cybersecurity threat posture, your organization can negotiate an economical policy that ensures business resilience in the case of an event.
Kovrr’s CRQ solution also provides users with guidance on various insurance options according to risk appetite and policy structure and significantly aids in revealing gaps in the organization’s coverage.
Cyber Materiality Analysis
As governments worldwide continue to enact legislation requiring organizations to disclose material cyber events and risks in a timely manner, it has become increasingly crucial to define this somewhat ambiguous threshold. Quantified benchmarks provide a solid starting point for this determination process.
Kovrr’s first-of-its-kind Cyber Materiality Analysis feature offers enterprises these preliminary thresholds, such as financial loss, data record compromisation, and outage time, calculated based on a customizable basis point of revenue. With these figures, disclosure is significantly streamlined, helping to ensure compliance.


Benchmarking With Key Industry Insights
With objective insights into key peers' and players' cyber risk exposure within respective industries, organizations can ensure they’re maintaining a competitive edge and pursuing appropriate, context-specific cyber mitigation strategies.
Incorporating millions of cyber event loss data points, our CRQ solution offers critical cyber event benchmarking metrics that empower enterprise cyber risk managers to compare their risk postures and gain the necessary resources to stay ahead in the evolving cyber risk landscape.
Third-Party Cyber Risk Analysis
Uplift your TPRM & GRC program by understanding the contribution of a third-party service provider to your overall cyber risk exposure. Working with a third-party provider is an essential part of doing business, yet often, available data regarding their security controls is limited, making assessing their risk a lengthy process that renders insufficient results.
However, with Kovrr's CRQ platform, your cybersecurity team gains key insights into how third-party risk contributes to overall exposure and financial loss. The solution also provides targeted suggestions for initiatives that can limit this potential damage.


Cyber-Spheres and Asset Groups
Kovrr has devised a framework that allows companies to capture the complexities of their organization and have them reflected in the cyber risk quantification results. This Cyber-Sphere methodology allows for a high level of granularity input that is then reflected in more customized cyber risk forecasts.
Users can delve deeper than an aggregated company-level cyber risk analysis by providing inputs at an Asset Group (AG) level. For example, employee endpoints can be split by country, region, or operating group, ultimately enabling more targeted risk mitigation plans.

How Does It Work?
Data Collection
Kovrr has developed its own proprietary data sources and partnered with world-leading third-party data providers to compile and continuously update an extensive view of the cyber risk landscape. Curated data includes frequency of cyber attacks, financial impact of incidents, and security resilience of millions of organizations worldwide. Kovrr's CRQ platform also allows organizations to leverage their preferred cybersecurity vendors' data and embed it into the modeling framework.
Data Modeling
Kovrr's cyber risk quantification model predicts an organization's cyber risk by running thousands of simulations to find all possible outcomes and produce a full risk distribution. The modeling takes into account cyber data about the company and cross-references it with industry data along with the cyber context in which the company operates. Kovrr uses a business impact-based approach in which impact scenarios reflect types of losses summarized into six categories that align with standard insurance coverages.
Data Insights
Transform cybersecurity data into financially quantified cyber risk. Kovrr's CRQ software provides a financial risk overview that includes high, average, and low exposure loss analysis, trends, industry benchmarks, business impact scenarios, and more. Insights include an analysis of security controls and recommendations for reducing financial exposure by control upgrade, including ROI for selected cybersecurity control projects. Additional risk transfer recommendations are provided based on current cyber insurance terms and conditions and the organization's cybersecurity posture. Users can also understand their exposure to third-party cyber risk for a complete view to better manage overall risk.
Cyber Risk Quantification FAQs
Speak to an ExpertWhat is cyber risk quantification and how does it work?
Cyber risk quantification uses statistical modeling to translate an organization's cyber risk exposure into financial terms. Kovrr's CRQ platform runs Monte Carlo simulations across tens of thousands of potential loss scenarios, incorporating top-down and bottom-up approaches, catastrophe and targeted models, and continuously calibrated inputs. The outputs are transparent, repeatable, and objective financial metrics designed to stand up to executive and board-level scrutiny.
Which cybersecurity frameworks does CRQ support?
Kovrr's CRQ platform accounts for an organization's security control maturity according to the most commonly used cybersecurity frameworks, including NIST CSF, CIS Controls, and ISO. Control maturity levels inform the quantification results, enabling users to evaluate how improvements in specific controls reduce financial exposure and by how much. These quantified insights make it easier for CISOs and security risk managers to prioritize mitigation efforts and justify expenditures.
How does cyber risk quantification support regulatory compliance?
Kovrr's CRQ platform helps organizations proactively align with cybersecurity regulations such as NIS2, DORA, and the US SEC's cybersecurity disclosure requirements. The platform offers quantified materiality thresholds according to financial loss, data record compromise, and outage time, directly supporting the need to define "material" and "significant" benchmarks. With loss exceedance curves, stakeholders can facilitate decision-making around cyber risk disclosure, governance, and capital allocation.
What data is used in cyber risk quantification models?
Kovrr's CRQ models ingest a diverse, continuously updated set of data sources to ensure assessments are both accurate and organization-specific. These include threat intelligence feeds, proprietary cyber insurance claims data, vulnerability databases, and risk event catalogs. In addition to external threat environment data, the platform also incorporates internal company inputs such as asset details and security control maturity levels.
Security Scores Don't Tell the Full Story. Financial Impact Does.
Speak with a product expert about how to quantify cyber risk, build resilient security programs, and increase confidence within your organization.

