Systemic Cyber Risk Modeling (Insurers & Reinsurers)
Citalid provides insurance and reinsurance players with advanced analysis to model cyber catastrophes, align financial resources with extreme scenarios, and structure robust decisions at portfolio scale.
Modeling Cyber Catastrophes Is Complex
Indeed, insurers and reinsurers struggle to identify systemic risks, notably because:
Extreme scenarios are poorly identified or underestimated, and estimates swing between over‑ and under‑evaluation.
Insurance and economic impacts are often hard to differentiate.
Opportunities and risks are not clearly identified, reducing the ability to make informed decisions.
Regulators’ requirements on risk management are increasingly strict.
Decision‑Making
Make Strategic Decisions Faster
Visualize the impact of a cyber event simultaneously affecting one or more policyholder portfolios. This accumulation‑based lens enables robust trade‑offs in reinsurance strategy, underwriting, commercial strategy, and more.
Translate extreme scenarios into concrete financial losses
Eliminate uncertainties related to risk accumulation
Accelerate trade‑offs with clear, actionable metrics
Ensure defensible decisions in a demanding regulatory environment
Strategic Alignment
Improve Your Underwriting and Pricing Strategy
Leverage advanced catastrophe scenario modeling to improve underwriting, pricing, product, and services with informed decision‑making. Avoid biased and blind decisions.
Identify the impact of a cyber catastrophe scenario on your portfolio’s resilience
Adapt pricing to your risk
Adapt insurance products and services for clients and prospects
Strengthen the relevance of your insurance offerings
Process Efficiency
Optimize Capital and Reinsurance Programs
Simulate extreme cyber risk scenarios to meet your portfolio’s profitability, resilience, and solvency requirements.
Identify the economic impact of catastrophe scenarios
Structure more relevant reinsurance programs
Meet solvency requirements with reliable data
Reduce the risk of unanticipated losses
Risk Anticipation
Strengthen Your Portfolio’s Resilience
Identify risk concentration areas and guide underwriting decisions to build a more balanced, robust portfolio against systemic events.
Map critical zones in your portfolio
Detect propagation effects between policyholders
Prioritize risk‑reduction actions
Enhance the overall quality of the portfolio
Financial Risk Management
Strengthen Your Market Credibility
Base your decisions on rigorous, transparent quantification of cyber risk. Earn the trust of regulators, investors, and clients with a scientific, well‑documented approach.
Build analysis on sourced, verifiable data
Facilitate exchanges with regulators and stakeholders
Demonstrate mastery of systemic risk
Position yourself as a reference on the market
Systemic Cyber Risk Modeling
Need to identify systemic risks across your portfolio?
They trust us
Functional Capabilities to Manage
Systemic Risk
Citalid relies on Cyber Threat Intelligence (CTI) to build realistic scenarios aligned with attackers’ tactics, techniques, and preferred targets. These scenarios reflect current and emerging threats.
The platform models the probability of occurrence, the impact footprint (number of entities affected), and the financial severity of each scenario—enabling granular systemic risk assessment.
Citalid provides the complete dataset used for each simulation. This transparency strengthens confidence in results and eases auditability, particularly in regulatory contexts.
Results are delivered as clear narrative reports tailored for internal stakeholders (actuaries, risk managers, C‑level) and external ones (regulators, reinsurers). These deliverables facilitate decision‑making and strategic communication.