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, loss exceedance curves, 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
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 ExpertWhich cybersecurity frameworks does CRQ support?
What is cyber risk quantification and how does it work?
How does cyber risk quantification support regulatory compliance?
What data is used in cyber risk quantification models?
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.
