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.

Quantify Cyber Risk.
Make Smarter Strategic Decisions.

Communicate Cyber Risk to the Board of Directors and Key Stakeholders

Kovrr's CRQ platform transforms technical cyber terminology into a broader business language, offering key stakeholders a tangible understanding of the financial impact of potential cyber events. Translating cyber risk into event likelihoods and monetary terms allows CISOs to facilitate more effective communication with executives, ensuring cybersecurity is elevated to the highest organizational levels.

Justify Spending Decisions, Prioritize Initiatives, and Demonstrate ROI

Evaluate the cyber events most likely to occur and their respective financial damages, then allocate resources accordingly. Kovrr's CRQ platform equips CISOs and cybersecurity leaders with data-driven monetary insights to demonstrate the ROI of various investment decisions, making it possible to highlight that the level of decreased risk significantly outweighs the cost of a security upgrade.

Enhance Cybersecurity GRC (Capital Allocation, Risk Appetite, Compliance)

Executive stakeholders and risk managers can establish data-driven risk appetite and tolerance levels that more realistically reflect the organization's risk landscape. Kovrr's CRQ software empowers budget-makers to make calculated governance decisions that facilitate broader objectives, whether that means investing more resources into cybersecurity initiatives, increasing capital reserves to ensure resiliency, or meeting the requirements of regulatory frameworks like NIS2 and DORA.

Optimize Cyber Insurance Terms, Conditions, and Policies

Using CRQ, business leaders can compare forecasted losses with the overall insurance policy and determine whether the deductible truly offers a financial safety net. Kovrr's cyber risk quantification platform also breaks down financial damage according to standard insurance loss scenarios, enabling CISOs and C-suite executives to optimize the allocated budget and ensure that terms and conditions are tailored to match the organization's unique cyber risk profile.

Go From Cyber Data to Cyber Decisions in Less Than a Month
Quantify your risk, prioritize your next move, and justify your investments.
Day 1

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

Day 14

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

Day 28

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

Discover the Entire Cyber Risk Quantification Platform
Kovrr's CRQ platform covers the full scope of cyber risk management, from quantifying exposure and modeling decisions to monitoring controls and surfacing real-world threat intelligence. Each capability produces quantified financial outputs that feed directly into strategic decision-making.
Top-Down Scenarios

Generate a macro-level view of an entity's financial cyber exposure with minimal data inputs. Average annual loss, tail risk, event likelihood, risk drivers, and peer benchmarks are all modeled from thousands of Monte Carlo simulations.

Cyber Risk Register (Bottom-Up Scenarios)

Define and quantify custom threat scenarios tailored to the organization's specific environment. Track scenario likelihood, impact, control recommendations, and risk ownership in a centralized, continuously updated register.

Portfolio Analysis

Quantify and compare cyber risk exposure across an entire portfolio of entities. Identify risk concentrations, model correlation between entities, and evaluate capital allocation with a portfolio-level view of financial exposure.

Decision Simulator

Model the financial impact of control improvements, security investments, and compliance efforts before implementation. Compare baseline exposure against simulated outcomes and calculate return on security investment for every decision.

Insurance Data Insights

Map modeled cyber exposure directly to insurance coverage terms. Evaluate limits, deductibles, sublimits, and full tower structures against quantified loss distributions to negotiate policies grounded in the organization's risk profile.

Scenario Intelligence

Surface real-world cyber incidents from a continuously updated database, filtered by industry, country, and revenue band. Each incident is mapped by the Kovrr Agent and can be added to the risk register in a single click.

Continuous Control Monitoring

Ingest live security signals from cloud and security infrastructure to keep CRQ outputs current. As control posture changes, financial exposure recalculates automatically, ensuring quantified risk always reflects operational reality.

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.

Analyze your organization's cyber risk associated with third-party service providers.
Map your organization's data-sharing structure in Kovrr's Cyber-Sphere for more granular insights.

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.

Key Benefits

Continuous Financial Cyber Risk Quantification Insights

Kovrr's cyber risk quantification (CRQ) platform delivers continuously updated financial insights without the overhead of traditional risk consulting engagements. Organizations can drill down into risk according to specific cyber event components, including associated risk vectors, damage types, and other relevant impact data, and quickly recognize the underlying causes driving financial exposure.

Insurance-Grade Cyber Risk Quantification Models

Our cyber risk quantification solution leverages multiple modeling technologies that differentiate between systemic attacks, targeted attacks, and failures and covers hundreds of thousands of simulated cyber events to provide the most accurate quantification metrics possible. Users can deep dive into various business impact scenarios to understand where cyber risk is concentrated and how each scenario financially affects the business.

Actionable, Objective Business-Relevant Metrics

The CRQ platform enables security and risk teams to drill down into specific cyber scenarios and risk vectors, gaining insight into how each one contributes to overall organizational exposure. These financial outputs support more informed security investment decisions and help shape a targeted cyber risk management strategy.

Comprehensive Data Acquisition and Augmentation

Kovrr integrates multiple global data sources, including technological footprint, global threat intelligence, and proprietary cyber insurance loss intelligence. The CRQ software delivers highly accurate outputs based on technology, security, and business data specific to each organization, supplemented by continuously updated open and proprietary data sources.

Enhanced Cyber Risk Business Impact Analysis (BIA)

Incorporate cyber preparedness into the organization's business continuity plan (BCP) by identifying the potential financial impact of a cyber incident on critical business operations and assets. Kovrr's CRQ platform enables teams to quantify operational and financial loss per cyber event, gain insight into losses per outage time, and break down damages by revenue, reputation, data recovery, and regulatory compliance.

Cyber Risk Accountability and Operational Execution

Kovrr's CRQ-powered cyber risk register transforms cyber risks into dynamic, proactively managed initiatives that are continuously tracked. No longer will the register be a static document. Cybersecurity leaders can assign risk owners, define response plans, and integrate with external workflow applications, ensuring mitigation efforts remain transparent and aligned with organizational priorities.

Our Technology

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

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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.