Cyber Risk
Quantification

Cyber Risk Quantification (CRQ) transforms abstract security threats into measurable financial and operational impacts. By moving beyond qualitative “high, medium, low” assessments, CRQ enables organizations to understand how much risk costs in real terms, and to prioritize investments with evidence-based clarity.

1. Threat Intelligence & Data Collection

Incident Data

Threat Intelligence

Vulnerability Scans

2. Risk Modeling

Probability Models

Loss Metrics

Scenario Analysis

3. Financial Impact Assessment

Operational Downtime

Regulatory Fines

Reputational Damage

4. Business Desision & Responce

Investment Prioritization

Insurance Evaluation

Migration Strategy

Why It Matters

  • Executive Alignment: Translates technical vulnerabilities into business metrics that boards and C-suites understand.

  • Investment Justification: Helps security leaders demonstrate ROI on cybersecurity spending.

  • Regulatory Readiness: Supports compliance with EU, UK, and US frameworks that increasingly demand risk-based decision-making

Our Approach

  • Data-Driven Models: Combining threat intelligence, incident data, and loss metrics with advanced probability modelling.

  • Scenario Simulation: Stress-testing resilience against ransomware, insider threats, supply-chain breaches, and critical infrastructure attacks.

  • Standards Alignment: Methodologies informed by NIST CSF, FAIR (Factor Analysis of Information Risk), and EU-wide financial sector guidelines.

  • Actionable Insights: Quantified risk scenarios linked to mitigation strategies, insurance evaluation, and policy controls.

Strategic Benefits

  • Turn cybersecurity into a business enabler by framing risk in euros and dollars

  • Ensure resilient operations through prioritized controls based on cost-benefit analysis

  • Quantum-Ready Links: Fiber tethers can support quantum key distribution (QKD) for future-proof secure communications