awesome-ai-security

Guide for understanding and contributing to the awesome-ai-security curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).

Guide for adversarial machine learning: adversarial examples, data poisoning, model backdoors, and evasion attacks.

Guide for AI-powered penetration testing tools, red teaming frameworks, and autonomous security agents.

Guide for LLM security attacks: prompt injection, jailbreaking, data extraction, and where to place resources in README.md.

Guide for AI security tooling (detectors, analyzers, guardrails, benchmarks) and consistent placement in README.md.