Our artificial intelligence solution enables organizations to make informed decisions on cyber security investments and quantify the associated risks.
QUANTITATIVE
Our methodology is compatible with industry best practice frameworks (NIST CSF, ISO 27001, or NIST RMF) and utilizes cyber metrics which allow for a more objective assessment of risk based on facts and not opinions to ensure standardization, consistency and repeatability along the risk management lifecycle.
ADAPTIVE
Changes in business, cyber threats, or cyber capabilities can trigger a change of the overall risk profile of an organization over time. Our solution adapts to the current situation by leveraging external and internal data sources to continuously quantify risk based on the current situation.
INTEGRATIVE
Our solution integrates seamlessly into common cyber risk management and cyber program management workflows and does not leave you stranded with endless choices for solutions to support your governance and risk management function.
NIS2 Compliance Made Clear: Assigning Value to Cyber Threats
Embrace a groundbreaking approach that translates intricate cybersecurity threats into clear monetary terms. With Cyber Risk Quantification, we simplify the complex, forging a connection between tech gurus and business leaders. Navigate NIS2 compliance by understanding the financial implications of cyber risks.
Scenario Analysis
Get ahead by forecasting the financial implications of different cyber incidents, ensuring preparedness.
Clear Stakeholder Communication
Simplify cyber risks into financial terms, making NIS2 compliance discussions more engaging and relatable for board members and shareholders.
Regulatory Advantage
Show regulators you're not just ticking boxes, but truly understanding and managing the financial aspects of cyber risks as NIS2 expects.
Our Services
Methodologies and Frameworks
We can help your organization in a variety of different situations to better understand cyber risk exposure and breach impact on the organization using a standardized, repeatable and quantitative methodology.
Service
CYBER BREACH IMPACT ASSESSMENT
“What is our financial loss exposure if we get compromised”? Understanding the potential financial impact to an organization is paramount to design and implement an effective and cost-efficient cyber strategy. Misgauging the hypothetical financial damage may result in ineffective and misaligned cyber investments. While there are many external data sources and statistics available to the public that can be used to estimate the cost of a cyber breach most estimations focus on immediate, tangible costs of a cyber breach (e.g.; cost to contain and recover) but lack consideration of intangible cost dimensions (e.g.; loss of customers) as a result of a breach. Our methodology leverages a holistic, client-proven financial impact model which captures both short-term tangible but also long-term intangible loss dimensions that allows to more accurately estimate the financial impact of a cyber breach based on client-tailored cyber risk scenarios.
Service
CYBER RISK ASSESSMENT
Our risk quantification framework consists of the following components: Standardized set of loss dimensions including but not limited to primary and secondary impact models and associated parameters to estimate minimum and maximum financial loss based on user-supplied input. Standardized set of asset types including but not limited to hypervisor, server, endpoint, network devices, Internet-of-Things (IoT) devices, databases, applications and data Standardized set of cyber threat vectors aligned with standards and industry best practice frameworks such as MITRE ATT&CK framework. Standardized set of security controls aligned with standards and industry best practice frameworks, such as NIST Cybersecurity Framework Standardized set of cyber initiatives that can be part of a cybersecurity program to improve the organization’s cybersecurity capabilities.
Service
CYBER BREACH SIMULATION
“Where are we most vulnerable”? – Leveraging available infrastructure telemetry, threat and cyber control data, our cyber breach simulation service offers our clients a passive methodology data-driven insights into their most vulnerable infrastructure regions and helps answer questions such as “what devices are likely to be compromised by the attacker”? or “what is the most likely attack path into the organization to compromise one of our high-value information assets”? The results of the assessment can be used by penetration testing and threat hunting teams to plan more specific penetration tests or proactively investigate existence of known indicators of compromise.
Service
CYBER PROGRAM OPTIMIZATION
Are we putting the right amount of money on the right initiatives”? There are many cyber risk assessment frameworks and solutions available. Although traditional methodologies oftentimes offer recommendations on what to do in order to drive the organization’s cyber capability maturity, the vast majority of frameworks and solution don’t provide insights on how to optimize cyber spend to achieve maximum risk reduction. Our method for adaptive security investment optimization is based on a cyber risk quantification framework to estimate inherent, current and target residual risk levels of an organization and generate a security strategy that maximizes the impact and return-on-investment (ROI) of an organization’s cybersecurity program while allowing for adaptation to changes of the organization’s threat and control environment.
Our Products
Artificial Intelligence driven solution
An effective cyber risk management is needed to understand risks and their potential impact to an organization and develop and maintain a security program that is truly tailored to the risk appetite of the organization
Product
CyberRQ
CyberRQ is an Artificial Intelligence (AI)-driven solution that is specifically built to support integrated, and adaptive and quantitative cyber risk management. The solution is built on standards and industry best practice frameworks (e.g. FAIR, CIS Critical Controls, CIS Security metrics and MITRE ATT&CK Framework) and leverages financial modelling techniques to allow for standardized quantification of risks and prioritization of cyber spend through asset-centric insights into key risk drivers to optimize the efficiency and effectiveness of your cyber program in a dynamically changing risk environment.
Our Projects
Developing a tailored cybersecurity program
Use Case
As part of a digital transformation, we helped one of the largest divisions of a $20B+ media and entertainment company in the U.S. to develop and implement a business-oriented cyber strategy and program. Specifically, the divisional business leadership was interested in understanding the estimated financial impact of a breach to better understand to cost-benefit ratio of current and planned cyber initiatives. To that extend, we conducted workshops with key stakeholders to define and agree on key risk scenarios relevant to the business, we conducted an impact quantification to estimate potential short-term and long-term impact of a cybersecurity breach in the division's infrastructure on the organization, and executed a cyber breach simulation with one particular business unit to understand density areas of risk exposure in the underlying IT infrastructure. As a result, we successfully identified 8 key risk scenarios relevant for the division and developed a tailored cyber threat profile with threat likelihoods based on external threat intelligence feeds leveraging the MITRE ATT&CK frameworks, we successfully estimated worst-case short-term (tangible) and long-term (e.g.; intangible) financial damage of data breach for each key risk scenario taking into consideration more than 10 different impact dimensions, and we conducted a cyber breach simulation based on assets, data flows, cyber control levels and current cyber threat profile for one selected business unit and identified multiple potential attack paths in the computer network.
Implementing GRC innovation project
Use Case
As part of a Governance, Risk, and Compliance innovation program, we helped an international leading energy company to understand and begin implementing the transition process for their operating power plants towards a quantitative risk assessment methodology that would enable the company to identify, measure, monitor, and manage their risks in a more unified, data-driven, efficient, and effective way. We conducted workshops with key stakeholders to define and agree on key risk scenarios relevant to the business, we conducted an impact quantification to estimate potential short-term and long-term impacts of a cybersecurity breach in the division's infrastructure on the power plant, and executed cyber breach simulations with the business units involved.
