Open-source tools and notebooks for quantitative cybersecurity risk analysis.
Monte Carlo · Bayesian · Survival Analysis · Causal Inference · FAIR
decision-security — Python library
Reusable decision-science toolkit for security. Monte Carlo simulation (VaR/ES), Beta-Binomial and Normal Bayesian updates, Kaplan-Meier and Nelson-Aalen survival estimation, EVPI value-of-information, lightweight causal DAGs, and visualization helpers.
pip install --pre decision-security
security-decision-science — Notebooks & docs
Free Jupyter Book covering Monte Carlo risk modeling with heavy-tailed distributions, Bayesian inference for triage and calibration, survival analysis for time-to-event scenarios, and causal inference fundamentals. Live at security-decision-science.github.io (coming soon)
FAIR Simulator app. Interactive Monte Carlo FAIR risk quantification tool. LEF/LM simulation, portfolio aggregation, sensitivity analysis, and IRIS 2025 industry benchmarks. TypeScript + Python.
Built by Laura Voicu · Medium · LinkedIn
