Security Decision Science
- 16 followers
- Switzerland
- https://apropos-security.com
Open-source tools for empirical cyber risk quantification.
Apropos Security · Medium · LinkedIn
FAIR · FAIR-CAM · Agent-Based Modeling · Monte Carlo · Bayesian · Survival Analysis
security-decision-labs — Tools
Cyber risk quantification toolkit. All tools are CC BY-NC-SA 4.0.
| Tool | What it does | Install |
|---|---|---|
| Control Systems ABM | FAIR-CAM agent-based control dynamics simulation. Eight agent types, three-source variance, budget-constrained remediation, narrative causation. Reproduction package for Jones & Voicu (2026). | git clone |
| TEF Estimator | Data-grounded Threat Event Frequency estimation. Four-vector decomposition, three-anchor triangulation, continuous telemetry monitoring. | pip install tef-estimator |
| LLM Classification Validator | Five-dimension psychometric validation for LLM-generated classifications. Published with Cloud Security Alliance. | pip install llm-classification-validator |
| FAIR Risk Quantification | Monte Carlo FAIR risk quantification with IRIS 2025 benchmarks. LEF/LM simulation, portfolio aggregation, sensitivity analysis. | git clone |
security-decision-science — Notebooks
19 interactive Jupyter notebooks: statistical foundations, decision frameworks, behavioral traps, causal reasoning applied to security. Live docs →
decision-security — Python library
Monte Carlo (VaR/ES), Bayesian updates, survival estimation, value-of-information, causal DAGs. pip install decision-security
Built by Laura Voicu · Medium · LinkedIn
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Repositories
- decision-security Public
Reusable decision-science utilities for security: Monte Carlo, Bayes, Survival, VoI, light causal helpers.
- security-decision-labs Public
FAIR cyber risk quantification toolkits, agent-based control simulation (FAIR-CAM), threat event frequency estimator (PyPI), LLM classification validator (PyPI), Monte Carlo risk engine with IRIS benchmarks.
- security-decision-science Public
19 interactive Jupyter notebooks for statistical decision-making in security: Monte Carlo, Bayesian, survival analysis, causal inference, FAIR.
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