awesome-ai-security

# `awesome-ai-security`[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

[![GitHub license](https://img.shields.io/github/license/gmh5225/awesome-ai-security)](https://github.com/gmh5225/awesome-ai-security/blob/main/LICENSE)

A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers.

```
If you find that some links are not working, you can simply replace the username with gmh5225.
Or you can send an issue for me.
```
> Show respect to all the projects below, perfect works of art :saluting_face:

## How to contribute?
- https://github.com/HyunCafe/contribute-practice
- https://docs.github.com/en/get-started/quickstart/contributing-to-projects

## Skills for AI Agents
This repository provides skills that can be used with AI agents and coding assistants such as [Cursor](https://www.cursor.com/), [OpenClaw](https://docs.openclaw.ai/), [Claude Code](https://docs.anthropic.com/en/docs/claude-code), [Codex CLI](https://github.com/openai/codex), and other compatible tools. Install skills to get specialized knowledge about game security topics.

- https://github.com/vercel-labs/skills [The open agent skills tool - npx skills]

**[View on learn-skills.dev](https://learn-skills.dev/skills/gmh5225/awesome-ai-security)**

**Installation:**
```bash
npx skills add https://github.com/gmh5225/awesome-ai-security --skill <skill-name>
```

**Available Skills:**
| Skill | Description |
|-------|-------------|
| `adversarial-machine-learning` | Adversarial machine learning: adversarial examples, data poisoning, model backdoors, and evasion attacks |
| `ai-powered-pentesting` | AI-powered penetration testing tools, red teaming frameworks, and autonomous security agents |
| `llm-attacks-security` | LLM security attacks: prompt injection, jailbreaking, and data extraction |
| `awesome-ai-security-overview` | Overview of this repository and contribution guidelines |
| `ai-security-tooling` | AI security tooling: detectors, analyzers, guardrails, and benchmarks |

**Example:**
```bash
# Install LLM attacks skill
npx skills add https://github.com/gmh5225/awesome-ai-security --skill llm-attacks-security

# Install multiple skills
npx skills add https://github.com/gmh5225/awesome-ai-security --skill adversarial-machine-learning
npx skills add https://github.com/gmh5225/awesome-ai-security --skill ai-powered-pentesting
```



## AI Security Starter Pack

- **CTFs / Practice**
  - https://github.com/verialabs/ctf-agent [ctf-agent - autonomous CTFd solver: coordinator LLM + parallel model swarms in Docker; BSidesSF 2026 1st]
  - https://aivillage.org/ [AI Village @ DEF CON - LLM Jailbreak Challenges]
  - https://doublespeak.chat/#/handbook [Doublespeak - AI Security Challenges]
  - https://github.com/EasyJailbreak/EasyJailbreak [Framework for adversarial jailbreak prompts]
  - https://github.com/microsoft/AI-Red-Teaming-Playground-Labs [Microsoft AI Red Teaming Playground Labs]
  - https://github.com/schwartz1375/genai-security-training [GenAI Red Teaming Training]

- **Blogs / Resources**
  - https://genai.owasp.org/ [OWASP GenAI Security Project]
  - https://llm-stats.com [LLM Leaderboard]
  - https://www.aidaily.win [AI Daily News]
  - https://baoyu.io/blog/how-to-write-good-prompt [How to Write Good Prompts]
  - https://rootissh.in/ [LLM Pentesting Series Blog]

- **Newsletters / Collections**
  - https://mlsecops.com/podcast [MLSecOps Podcast]
  - https://podcasts.apple.com/ph/podcast/the-genai-security-podcast/id1782916580 [GenAI Security Podcast]
  - https://avidml.org/ [AI Vulnerability Database (AVID)]

- **Certifications / Courses**
  - https://cs229.stanford.edu/ [Stanford CS229: Machine Learning]
  - https://course.fast.ai/ [fast.ai Practical Deep Learning]
  - https://www.coursera.org/specializations/deep-learning [Deep Learning Specialization by Andrew Ng]
  - https://huggingface.co/reasoning-course [Build DeepSeek-R1 like Reasoning Model]



## AI/LLM Guide

- **Foundations**
  - https://d2l.ai/ [Dive into Deep Learning - Interactive book with PyTorch/JAX/TensorFlow]
  - http://neuralnetworksanddeeplearning.com/ [Neural Networks and Deep Learning by Michael Nielsen]
  - https://www.deeplearningbook.org/ [Deep Learning by Goodfellow, Bengio, Courville]
  - https://github.com/karminski/one-small-step [AI/LLM Tutorial]
  - https://github.com/datawhalechina/happy-llm [LLM Principles and Practice Tutorial]
  - https://github.com/rasbt/LLMs-from-scratch [Build LLM from Scratch]
  - https://github.com/naklecha/llama3-from-scratch [LLaMA3 from Scratch]
  - https://github.com/ZJU-LLMs/Foundations-of-LLMs [Foundations of LLMs]

- **Awesome Lists**
  - https://github.com/WangRongsheng/awesome-LLM-resourses [Comprehensive LLM Resources]
  - https://github.com/mahseema/awesome-ai-tools [Awesome AI Tools]
  - https://github.com/Shubhamsaboo/awesome-llm-apps [Awesome LLM Apps]
  - https://github.com/punkpeye/awesome-mcp-servers [Awesome MCP Servers]
  - https://github.com

... (truncated)