Better business decision-making and collaboration happens when you can translate cyber risk into financial terms that every business stakeholder can understand. RQ is an automated cyber risk product that computes cyber risk in monetary terms. RQ’s automation of complex cyber risk calculations enables conversations with the business around the value of security in terms they can understand.
Companies are evolving their approach to measuring and communicating security metrics. A shift is underway towards the financial quantification of cyber risk. Why? Because financial quantification of cyber risk enables conversations between security and the business to happen in a language all can understand.
Quantifying cyber risk in financial terms enables the business to analyze the cyber risk of various initiatives. You can weigh the value of revenue, customer, and market share growth objectives against the potential cyber risk they bring. When CISOs engage early with business stakeholders about security and risk reduction, better security investment decisions happen.
The result? Actionable outputs that support better business stakeholder decisions, including:
“About 40 percent of the boards of directors will have a dedicated cybersecurity committee overseen by a qualified board member by 2025, up from less than 10% today”
Evolve your CRQ program with the power of RQ and automation to leverage FAIR. RQ enables you to take the next step forward with FAIR through automation and integration capabilities to help you calculate loss and likelihood at scale. RQ enables you to integrate with a variety of tools, including; GRC, vulnerability scanners, CMBDs, and others to scale your cyber-risk quantification efforts.
The result? Actionable reporting is made possible with financial recommendations and prioritization for better business decisions and collaboration with business stakeholders.
RQ automates the generation of financial cyber risk reporting as it relates to your business, cybersecurity initiatives, and controls. RQ leverages your inputs and multiple data sources such as regulatory data, insurance claims, financial data, breach reports and a wealth of security and threat intelligence. When the data is applied to the risk model, you receive objective, automated outputs in the areas of:
“Out of 300 IT professionals surveyed by the Ponemon Institute, 72% said they had difficulty in prioritizing what needs to be patched. Sixty percent of those surveyed indicated that breaches at their organization were linked to a vulnerability where a patch was available, but not applied.”
RQ provides an industry first by prioritizing CVE’s by their potential financial impact should an exploit or attack be successful on a crown jewel asset. It enables security teams to focus on financial risk rather than severity scores that may or may not be relevant to you. This is especially true when security teams are inundated with alerts all professing high severity scores.
As any security analyst knows, a 10 does not necessarily mean a 10 across all businesses.
That is why RQ prioritization of CVEs is so important for security teams right now. You can focus on the vulnerabilities that matter the most to the business. The result? Clear demonstration of how your security team is driving down risk for the organization.
It is not easy to decide what are the right trade-offs between optimal customer experience and the security controls needed to secure customer data.
These conversations require a monetary value to quickly shape positive outcomes. This allows the business to understand the implications of introducing new digital applications and potential areas of loss exposure and financial risk.
What if analysis allows you to answer the tough questions and discuss outcomes using real-world financial analysis and monetary values to show the cyber risks associated with:
Best of all, What If analysis is automated based on your industry, top threats, regulations and security control frameworks.
You save hours or weeks of data gathering with the ability to critique rather than create security models. With this automation, it allows you to quickly compare current and proposed security models for better decision making.
RQ is priced to accommodate single businesses with multiple applications and scales to support enterprise and MSSP environments that have multitudes of legal entities and hundreds of applications.
Save time by using pre-built models that can be easily tuned to your environment to compare cyber-risk and financial impact across the organization. Group by applications, departments, legal entities, or whatever is most appropriate for your business.
These capabilities enable you to:
Interested in seeing RQ for yourself? Please fill out the form and we will reach out to provide a walkthrough of ThreatConnect Risk Quantifier.