aliasrobotics/cai
Cybersecurity AI (CAI), the framework for AI Security
What it solves
Cybersecurity AI (CAI) provides a lightweight, open-source framework for automating both offensive and defensive security operations. It aims to replace slow, expensive human-led penetration testing and vulnerability discovery with AI-driven agents that can operate at significantly higher speeds and lower costs.
How it works
CAI acts as an agentic framework that allows researchers and security professionals to build and deploy AI-powered security automation. It serves as a scaffold for LLMs to perform security tasks, enabling the discovery of vulnerabilities (such as CVEs) and the execution of attack/defense scenarios in Capture The Flag (CTF) competitions.
Who it’s for
Security researchers, penetration testers, and organizations looking to automate security auditing and vulnerability discovery using AI agents.
Highlights
- High Efficiency: Demonstrated to be 3,600x faster than human pentesters and 156x cheaper.
- Proven Track Record: Achieved #1 rankings in international security competitions including Neurogrid, Dragos OT, and HTB "AI vs Humans".
- Hacker Trajectories: Generated a massive 18.07 TB trajectory corpus consisting of over 26 million prompts across 230,000+ sessions.
- Extensive Research: Established a new research domain with 18 published papers covering everything from humanoid robot security to game-theoretic AI reasoning.
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