Cyber Risk · Financial Impact · Monte Carlo

Cyber Risk Financial Impact Simulator

A cross-disciplinary risk tool that estimates breach economics through company profile, attack type, severity, and uncertainty. The page is designed to show how cyber incidents translate into a financial range rather than a single dramatic headline number.

Analytical Question How large is the expected financial loss from a cyber event once company profile, attack type, and response quality are considered together?

Outputs Base-case loss estimate, cost breakdown, recovery timeline, control-effect adjustment, and Monte Carlo loss distribution.

Use Case Useful for linking cyber scenarios to capital planning, controls prioritization, and downside-risk framing.

Interactive Model

Model Loss, Distribution, Control Lift

Build a cyber-loss scenario, then compare the deterministic estimate with the Monte Carlo distribution. The important question is not just “what could this cost?” but “how much do posture and incident response change the loss range?”

What This Models

A cyber-loss framework combining sector loss baselines, attack-type severity, company scale, security maturity, and recovery uncertainty.

How To Use It

Start with a company profile, set the attack characteristics, then compare the base-case loss estimate with the higher-percentile outcomes in the simulation tab.

How To Read The Output

The key insight is how quickly the distribution widens when security maturity is weak. This is a loss-range tool, not a single-point prediction engine.

Methodology

Base loss comes from sector and attack-type assumptions scaled by company size and severity.
Security maturity compresses or widens the loss profile by changing resilience and recovery efficiency.
The Monte Carlo layer introduces uncertainty around company-specific, severity, industry, and recovery conditions.

Limits

This is a planning model, not a full cyber-actuarial platform.
Insurance structure, legal venue, and incident-response execution are simplified.
The correct reading is directional loss exposure and control value, not exact breach-cost prediction.