security-taxonomy

Comprehensive taxonomy of AI security vulnerabilities, LLM adversarial attacks, prompt injection techniques, and machine learning security research. Covers 71+ attack vectors including model poisoning, agentic AI exploits, and privacy breaches.

CVE-LMTune is a tool providing an automated pipeline to collect and preprocess labeled vulnerability data from multiple sources and fine-tune LMs for multi-label classification across CWE, CAPEC, and MITRE ATT&CK. It supports both flat and hierarchical classification, training multiple models to handle taxonomy sublevels for improved performance.

Engine for validating ranked security taxonomies against incident corpora via Bayesian inference. First cycle: OWASP LLM Top 10 2026.