CAI Cybersecurity AI Framework for Offensive and Defensive Automation

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CAI (Cybersecurity AI) is an open-source framework for building AI-powered offensive and defensive security automation tools. The project aims to democratize AI-driven security capabilities that have traditionally been concentrated among well-funded corporations and state actors.

Key Features

• 300+ AI Models: Supports Claude, GPT-4, DeepSeek, Ollama, and more via LiteLLM
• Built-in Security Tools: Ready-to-use tools for reconnaissance, exploitation, and privilege escalation
• Agent-Based Architecture: Modular agents for different security tasks with handoffs and human-in-the-loop capabilities
• Security Guardrails: Built-in defenses against prompt injection and dangerous command execution
• Cross-Platform: Linux, macOS, Windows, and Android

Performance Claims

The framework claims impressive benchmarks:

• 3,600× faster than human penetration testers in standardized CTF benchmarks
• Successfully identified CVSS 4.3-7.5 severity vulnerabilities in production systems
• Reached top-10 in the Dragos OT CTF 2025, completing 32 of 34 challenges

Use Cases

CAI has been used for vulnerability discovery across robotics, operational technology (OT), industrial IoT, and e-commerce platforms. The project is backed by eight peer-reviewed papers exploring LLM capabilities in cybersecurity.

Why It Matters

AI-powered security tools are becoming essential as attack surfaces grow and traditional manual testing can’t keep pace. CAI represents the open-source alternative to proprietary security AI tools, enabling security researchers and ethical hackers to build specialized agents for their specific needs.

Source: github.com/aliasrobotics/cai