workflow:cyber-risk-scenario-modeling
Cyber Risk Scenario Modeling overview
Quantifies cybersecurity risk exposure using structured risk frameworks -- applying FAIR (Factor Analysis of Information Risk) methodology to model loss event frequency and loss magnitude for priority threat scenarios, incorporating vulnerability assessment results and threat intelligence into calibration inputs, running Monte Carlo simulations to produce annualized loss expectancy distributions, developing loss exceedance curves for executive risk communication, comparing scenario-based risk quantification against cyber insurance coverage limits, and prioritizing security investments based on risk-reduction return on investment. Produces cyber risk quantification reports, loss exceedance curves, and investment prioritization matrices. Excludes security control implementation and insurance procurement.
Attributes
Outgoing edges
- domain:cybersecurity-grc·DomainCybersecurity GRC
- domain:security·DomainSecurity
- role:security-risk-analyst·RoleSecurity Risk Analyst
- role:security-reviewer·RoleSecurity Reviewer
- role:data-scientist·RoleData Scientist
- org-unit:security-team·OrgUnitSecurity Team
- org-unit:risk-management-team·OrgUnitRisk Management Team
- skill-area:threat-modeling·SkillAreaThreat Modeling
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
- responsibility:threat-modeling·ResponsibilityThreat modeling
- responsibility:risk-reporting·ResponsibilityRisk reporting