Every new digital initiative changes your threat landscape, expands your attack surface, and introduces risk exposures that need to be assessed. C-Risk delivers data-driven risk assessments for strategic projects, giving business and security leaders the financial insights they need to make evidence-based decisions.
Organizations are accelerating digital transformation through GenAI implementations, ERP transformations, new e-commerce platforms, and partnership initiatives. Each of these introduces new risk scenarios that must be identified, quantified, and communicated to decision-makers before commitments are made and throughout the project lifecycle.
Using the FAIR™ methodology, we assess how a new initiative reshapes your risk landscape. We quantify the probable financial impact of the new risk scenarios and evaluate the controls needed to bring exposure within acceptable levels. The result is defensible financial evidence that supports investment decisions, satisfies regulatory requirements, and gives project stakeholders a shared view of risk.
Map how the initiative creates or accesses critical assets, data flows, and third-party dependencies for a clear view of where new risk exposures emerge.
Model each risk scenario using the FAIR methodology and Monte Carlo simulations to produce a defensible range of probable financial loss for each scenario.
Assess existing controls against the initiative's risk scenarios using your control framework to identify where gaps exist and estimate the cost of closing them.
Bring together quantified risk exposure, mitigation costs, and expected business value into a clear executive decision-support package.
Every new platform, cloud migration, or AI deployment introduces new data flows, third-party dependencies, and attack vectors. Quantifying these new risk scenarios in financial terms ensures that your project business case reflects the true cost of transformation and that the right controls are built into the initiative from the start.
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We use the Open FAIR™ standard to scope risk scenarios specific to your initiative. For each scenario, we identify the critical digital assets involved, the relevant threat actors and attack vectors, and the potential impact on confidentiality, integrity, and availability. We then decompose each scenario into its loss event frequency and probable loss magnitude, using statistical modeling and Monte Carlo simulations to produce a quantified range of financial exposure. The process is streamlined and can typically be completed within a few days.
C-Risk delivers quantified risk assessments for strategic projects including GenAI implementations, cloud migrations, ERP transformations, new e-commerce platforms, and new market entry or partnership initiatives. Our approach is adapted to the specific risk profile, third-party dependencies, and regulatory context of each project.
A standard business case focuses on expected returns and implementation costs. A risk-adjusted business case integrates the probable financial impact of the risk scenarios introduced by the initiative, along with the cost of the controls needed to mitigate them. This gives stakeholders a complete picture of the initiative's true cost and expected value, enabling more informed investment and governance decisions.
We map the risk scenarios to your existing control environment using industry standard frameworks such as MITRE ATT&CK and NIST. This allows us to identify gaps where current controls do not adequately address the new exposures introduced by the initiative. We then assess the effectiveness of potential controls in reducing loss exposure within each quantified scenario, so you can prioritize mitigation based on financial impact rather than qualitative assumptions.
Regulations such as NIS2, DORA, and the EU AI Act require organizations to demonstrate risk-based governance and the ability to disclose material risk exposures. C-Risk's quantitative assessments using the Open FAIR™ standard provide defensible, data-driven evidence that meets these requirements. Because risk scenarios are expressed in financial terms, you can quickly assess and communicate the materiality of risks associated with new initiatives to regulators and stakeholders.