by depalmar · Agent Tool · ★ 148
AI for the Win Build AI-Powered Security Tools | Hands-On Learning -blue.svg) A hands-on training program for security practitioners who want to build AI-powered tools for threat detection, incident response, and security automation. 50+ labs (including 9 intro labs and 12 bridge labs), 4 capstone projects, 18 CTF challenges. Includes sample datasets, solution walkthroughs, and Docker lab environment. Designed for vibe coding with AI assistants like Cursor, Claude Code, and Copilot.
| Stars | 148 |
| Forks | 22 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 64.4713194620029/100 |
| Open Issues | 17 |
| Last Updated | 2026-06-01 |
| Created | 2025-12-15 |
| Platforms | docker, python |
| Est. Tokens | ~389k |
Explore other popular agent tool tools:
ai_for_the_win is Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red teaming. Includes Colab notebooks, Docker environment, and CTF challenges.. It is categorized as a Agent Tool with 148 GitHub stars.
ai_for_the_win is primarily written in Python. It covers topics such as adversarial-ml, ai, blue-team.
You can find installation instructions and usage details in the ai_for_the_win GitHub repository at github.com/depalmar/ai_for_the_win. The project has 148 stars and 22 forks, indicating an active community.