aliasrobotics/cai

CAI, short for Cybersecurity AI, is an open-source Python framework for building and running AI-powered security tools. It is aimed at security researchers, ethical hackers, IT professionals, and organizations that want to automate parts of their security work, from scanning for weaknesses to testing whether a system can be broken into under controlled conditions. The framework connects to more than 300 AI models from providers including OpenAI, Anthropic, DeepSeek, and locally-run models via Ollama. Users pick a model and then direct it through built-in tools for tasks like gathering information about a target (reconnaissance), attempting to exploit known vulnerabilities, and escalating access privileges during a penetration test. The goal is to let AI handle the repetitive or pattern-matching parts of security work while the human stays in control of the overall strategy. CAI has been used in Capture the Flag competitions (CTF), which are hacking contests where participants solve security puzzles, as well as in bug bounty programs where researchers legally find and report vulnerabilities in real products. The README cites benchmarks comparing CAI against other AI-assisted approaches in these settings. There are two editions. The community edition is free, open-source, and intended for research and learning. The professional edition, priced at 350 euros per month, is aimed at enterprise use and includes unlimited access to a proprietary model called alias1, no content restrictions for security testing scenarios, and professional support. The project describes alias1 as outperforming GPT-5 in AI-versus-AI cybersecurity benchmarks, though independent verification of this claim is not included in the repository itself. Installation is through pip, the standard Python package manager: pip install cai-framework. The project runs on Linux, macOS, Windows, and Android. The full README is longer than what was shown.