vuln-remediation-survival-model – AI Model by alirezaaminzadeh | AlphaNeural AI

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vuln-remediation-survival-model

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cox_proportional_hazards

survival-analysis

cox-proportional-hazards

vulnerability-management

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Vulnerability Remediation Survival Model

Cox Proportional Hazards model for predicting time-to-remediation of enterprise vulnerabilities.

Model Type

Algorithm: Cox Proportional Hazards (analytical coefficients)
Target: Time from discovery to remediation (right-censored for open vulns)
Concordance index: See train_metrics.json

Covariates

Feature	Effect
internet_exposed	Increases remediation hazard
patch_available	Increases remediation hazard
legacy_asset	Decreases remediation hazard
kev_status	Increases remediation hazard
cvss_score_norm	Increases with severity
epss_score	Increases with exploitation probability
asset_criticality	Increases with tier
environment_prod	Production prioritization

Files

config.json — Model metadata
cox_coefficients.json — Full Cox PH summary with hazard ratios
survival_analysis.json — Pre-computed KM curves and comparisons
train_metrics.json — Evaluation metrics

Intended Use

Vulnerability management backlog prioritization
SLA forecasting and risk tier assignment
Security data science portfolio demonstration

Limitations

Trained on synthetic data with known generative parameters
Not validated on real scanner exports
Does not replace human prioritization for zero-days

Team

Aria AI Security Data Science — aria-ai.ir