# taxonomy
11 articlestagged with “taxonomy”
AI Incident Classification & Taxonomy
Comprehensive taxonomy for classifying AI security incidents: jailbreaks, data leaks, model manipulation, supply chain compromise, adversarial attacks, and misuse categories.
Content Safety APIs (Azure, OpenAI, Google)
Detailed comparison of Azure Content Safety, OpenAI Moderation API, and Google Cloud safety offerings, including API structures, category taxonomies, severity levels, testing methodology, and common gaps.
AI Defense Taxonomy
A comprehensive categorization of all AI defense approaches organized by layer, method, and effectiveness, providing a structured framework for evaluating defense strategies.
AI Attack Taxonomy Overview
Comprehensive overview of the AI attack taxonomy covering all major attack categories and their relationships.
Attack Taxonomy Overview
Comprehensive overview of the AI attack taxonomy from prompt injection through model theft, organized by attacker goals and required access.
AI Attack Taxonomy
A comprehensive classification of AI attacks organized by target, technique, and impact — providing a shared vocabulary for red team planning and reporting.
Injection Attack Surface Taxonomy
Comprehensive taxonomy of all known injection attack surfaces in LLM-powered applications.
Injection Attack Taxonomy 2025
Updated taxonomy of injection attacks against LLMs covering all known attack classes.
Lab: Jailbreak Technique Taxonomy
Explore the major categories of jailbreak techniques and practice classifying attack payloads by technique type.
Prompt Injection Taxonomy
A comprehensive classification framework for prompt injection attacks, covering direct and indirect vectors, delivery mechanisms, target layers, and severity assessment for systematic red team testing.
Attack Technique Taxonomy Reference
Comprehensive attack technique taxonomy cross-referencing MITRE ATLAS, OWASP LLM Top 10, and custom classification schemes for AI security.