DORA and SEC regulations
Discover how the CRQ can enable cybersecurity compliance.
In today's interconnected world, cyber and technology risks are at the heart of business risk, requiring integrated governance, compliance, and resilience strategies. Our data-driven approach helps organizations transform their risk management process into a business enabler.
Data-driven risk management transforms how organizations address cyber risk by integrating security with strategic business objectives. Rather than treating cybersecurity in isolation, this approach takes a long-term view that aligns technology risk controls directly with core business objectives. By basing decisions on a holistic analysis that includes the risk landscape, business objectives and risk appetite, organizations create adaptive resilience that evolves alongside changing threats and business needs.
This strategic alignment ensures that security investments directly support business growth while providing meaningful protection against evolving cyber threats.
Effective data-driven risk management begins with a deep understanding of your organization's unique business environment. The mapping of critical digital assets, business processes, and value chains builds a comprehensive view of your risk landscape.
DDRM employs data-driven analysis to identify which security initiatives will deliver the greatest risk reduction relative to investment and risk appetite. This approach ensures that budget and personnel are directed toward activities that meaningfully reduce business risk rather than simply addressing the latest threats or compliance requirements.
Digital resilience extends beyond reducing the likelihood of an incident to ensuring business continuity regardless of disruptions. DDRM builds this resilience by implementing adaptive security frameworks and continuous monitoring that respond to your changing attack surface while maintaining operational efficiency.
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FAIR (Factor Analysis of Information Risk) provides a standardized taxonomy and methodology that enables all stakeholders to discuss, measure, and communicate about risk using consistent terminology and frameworks.
We implement quantitative methods and customized frameworks tailored to your organization's specific context, ensuring that risk management practices align precisely with your business objectives and operational realities.
Our risk-based methodology streamlines compliance with regulatory requirements, helping to develop cybersecurity policies and governance structures that drive active risk reduction and enhance your overall security posture and resilience.
Leveraging tools like SAFE One enables systematic management of risk scenarios at scale, transforming theoretical risk concepts into practical, repeatable
We provide specialized training and education for risk managers, business leaders, and executives on data-driven risk management and cyber, empowering them to leverage data-driven insights for more effective decision-making about security investments and risk mitigation strategies.
Schedule a free strategy session with a C-Risk expert to learn how our data-driven approach can help your organization strengthen resilience, optimize security investments, and demonstrate measurable business value.
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C-Risk is a recognized expert in Cyber Risk Quantification using the FAIR™ methodology. We provide CRQ solutions, advisory services and training.
Discover the essential capabilities, must-have features and integrations you need for an effective data-driven risk management platform.