CAI (Cybersecurity AI) is a lightweight open-source framework intended to help security practitioners build and deploy AI-assisted automation for defensive and offensive security workflows. The project frames itself as a practical foundation for “AI security,” focusing on turning security tasks into agentic workflows that can be composed, executed, and iterated on by practitioners. Rather than being a single-purpose tool, CAI is positioned as a framework that supports building multiple security automations and integrating them into existing processes. It is designed for real-world usability, aiming to reduce friction for teams experimenting with AI agents in security operations, assessment, and response contexts. The framework emphasizes extensibility so users can connect models, tools, and supporting components depending on their environment and constraints.
Features
- Framework for building AI-powered security automations across multiple use cases
- Support for agentic workflows that combine planning, tool use, and execution
- Extensible integration surface for connecting models and security utilities
- Designed for both defensive operations and offensive security experimentation
- Lightweight architecture intended for practical adoption by security teams
- Modular components that enable customization for different environments and constraints