CAI (Cybersecurity AI) is an advanced AI-powered cybersecurity framework built for penetration testing, ethical hacking, and security automation. It allows developers and security professionals to create intelligent agents that can perform vulnerability scanning, exploit testing, and red team operations using modern LLMs.
Designed for both offensive and defensive security, CAI supports AI-driven pentesting workflows, bug bounty automation, and digital security analysis, making it a powerful tool for scaling cybersecurity operations.
With its modular architecture and support for OpenAI, local LLMs, and automation pipelines, CAI is ideal for building next-generation AI security tools and autonomous hacking systems.
Build autonomous agents for pentesting & security automation
Perform offensive (attack) & defensive (detection) operations
Supports multi-step reasoning workflows
Automate bug bounty, vulnerability scanning, exploit testing
Reduce manual effort in security assessments
Scale testing across systems
Works with OpenAI, local models (Ollama), and other APIs
Enables intelligent decision-making using AI
Plug-and-play architecture
Add custom tools, scripts, and workflows
Highly extensible for research & enterprise use
Red teaming (attacks, exploits)
Blue teaming (monitoring, detection)
Full security lifecycle support
git clone https://github.com/aliasrobotics/cai.git
cd cai
# install dependencies
pip install -r requirements.txt👉 You’ll also need API keys (like OpenAI / local LLM setup via Ollama)
caiexport OPENAI_API_KEY=your_key_hereexport OLLAMA_API_BASE=http://localhost:11434Ethical Hackers & Penetration Testers
Red Team / Blue Team Professionals
Bug Bounty Hunters
Cybersecurity Researchers
CTF Players
AI + Security Developers