作者:Anamarija Pogorelec
Cybersecurity AI (CAI) is an open-source framework that helps security teams build and run AI-driven tools for offensive and defensive tasks. It’s designed for anyone working in security, including researchers, ethical hackers, IT staff, and organizations that want to use AI to find vulnerabilities, test defenses, and improve their security.
CAI provides the core pieces needed to create custom AI agents that can handle tasks like mitigation, vulnerability scanning, exploitation, and security assessments.
CAI comes with built-in tools for reconnaissance, exploitation, and privilege escalation. The framework has been proven in real-world use, including HackTheBox CTFs, bug bounty programs, and other security projects. Its modular, agent-based design allows users to create specialized agents for different tasks. It also includes guardrails to prevent prompt injection and unsafe command execution.
The developers chose to open source CAI for two main reasons:
CAI is lightweight, easy to use, and built around agents so it can scale and adapt to different tasks. It comes with built-in tools but also lets users add their own. Logging and tracing are built in through Phoenix, and it supports over 300 AI models, including options from OpenAI, Anthropic, DeepSeek, and Ollama.
Cybersecurity AI is available for free on GitHub.
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