amazon-science/Cyber-Zero
Cyber-Zero: Training Cybersecurity Agents Without Runtime
This project helps cybersecurity professionals develop and train autonomous agents to solve Capture The Flag (CTF) challenges. It takes publicly available CTF write-ups and, using simulated interactions, generates realistic training scenarios without needing actual execution environments. The output is high-quality training data for LLM-based cybersecurity agents, allowing practitioners to build more capable automated systems for vulnerability finding.
Use this if you are a cybersecurity researcher or red teamer looking to train advanced AI agents to identify vulnerabilities and solve CTF challenges efficiently without the overhead of real-world environment setup.
Not ideal if you need to test agents against live, real-time network environments or if your primary focus is manual penetration testing.
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77
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12
Language
Python
License
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Category
Last pushed
Feb 13, 2026
Commits (30d)
0
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