Citalid's Systemic Cyber Risk Modeling Platform is designed for insurers and reinsurers to model cyber catastrophe scenarios and assess their financial impact across policyholder portfolios. The platform uses Cyber Threat Intelligence (CTI) to construct realistic threat-based scenarios aligned with attacker tactics, techniques, and preferred targets. It quantifies three dimensions of each scenario: frequency (probability of occurrence), footprint (number of entities affected), and financial severity. Key functional capabilities include: - Threat-Based Scenario Definition: Scenarios are built from CTI data to reflect current and emerging threats. - Frequency, Footprint, and Severity Quantification: Granular modeling of systemic risk parameters for each scenario. - Full Data Transparency: The complete dataset used in each simulation is provided, supporting auditability and regulatory review. - Actionable Narrative Reports: Results are delivered as structured reports tailored for actuaries, risk managers, C-level executives, regulators, and reinsurers. The platform supports several use cases: - Strategic decision-making on reinsurance and underwriting by visualizing accumulation effects across portfolios. - Underwriting and pricing strategy improvement based on catastrophe scenario modeling. - Capital and reinsurance program optimization to meet solvency and profitability requirements. - Portfolio resilience assessment by identifying risk concentration zones and propagation effects between policyholders. - Regulatory credibility through verifiable, sourced data and transparent quantification methodologies.