Citalid's Cyber Risk Quantification Platform combines AI and human expertise to assess and quantify cyber risk in financial terms, supporting investment and strategic decision-making. The platform is built around the FAIR (Factor Analysis of Information Risk) framework, automating parameter estimation through contextual inputs and expressing results as financial impact and ROI metrics. Monte Carlo simulations are used to model probability distributions across risk scenarios. Core analytical capabilities include: - Actionable Cyber Threat Intelligence (CTI): Continuous monitoring by CTI experts, providing personalised and contextualised threat reports and prioritised security maturity recommendations. - Frequency Simulations: Estimates the number of attacks likely to target an organisation within a given year, based on attacker operational capacity and sector-level targeting patterns. - RedTeam Simulations: An algorithm simulates thousands of attack scenarios, modelling attacker propagation through business assets and generating security recommendations. The simulation approach is patented. - Bayesian Modelling: An AI-driven Bayesian model estimates financial impact across loss types (operational, reputational, legal), with configurable hypotheses that can be calibrated using organisation-specific data. Professional services are also offered, including expert guidance on cyber risk and cyber insurance, ongoing platform support, and advocacy support for risk management at executive level.