Home › Security › Cybersecurity AI (CAI)

Cybersecurity AI (CAI) - AI Security Tool

Overview

Cybersecurity AI (CAI) is an open-source framework for building AI-driven cybersecurity agents and automated workflows. According to the GitHub repository, CAI provides a toolkit for composing agents that can perform command execution, OSINT collection, vulnerability analysis, and task automation. The project is positioned as a developer-focused framework for integrating AI reasoning with traditional security tooling, enabling scripted and autonomous agents to assist in triage, reconnaissance, and remediation tasks. CAI is designed to be extensible: teams can combine prebuilt tools (for example, command execution wrappers and OSINT collectors) into higher-level agents and automation pipelines. Common use cases described by the project include automated external reconnaissance (domain and asset enumeration), scripted vulnerability checks, and orchestrated response actions driven by AI decision logic. According to the GitHub repository, the project has attracted a sizable community—making it suitable for practitioners who want to adopt or extend an open framework rather than build agent orchestration from scratch.

GitHub Statistics

  • Stars: 6,660
  • Forks: 918
  • Contributors: 88
  • License: NOASSERTION
  • Primary Language: Python
  • Last Updated: 2025-12-19T13:57:45Z

The repository shows strong community interest with 6,660 stars and 918 forks, indicating broad visibility and adoption. There are 88 contributors, which suggests ongoing collaborative development and multiple active maintainers. The last recorded commit is 2025-12-19, showing recent activity. The declared license field on GitHub is NOASSERTION, so users should review licensing details in the repo before use. Overall, star/fork/contributor counts point to a healthy and active open-source project with an engaged community.

Installation

Install via docker:

git clone https://github.com/aliasrobotics/cai.git
cd cai
docker build -t cai .
docker run -it --rm cai # or follow the repository README for runtime flags and environment variables

Key Features

  • AI-driven agent framework for composing autonomous security agents
  • Tool adapters for executing shell and remote commands safely
  • OSINT modules for domain, asset, and external reconnaissance
  • Vulnerability analysis helpers for scripted checks and scans
  • Automation pipelines to orchestrate triage and basic remediation
  • Extensible integrations allowing teams to add custom tools

Community

CAI has an active and sizable community: 6,660 stars, 918 forks, and 88 contributors. Frequent contributions and a recent commit (2025-12-19) indicate ongoing development. The repository’s license is marked NOASSERTION—review licensing and contribution guidelines in the project README before adoption. Community feedback and issue threads live on GitHub; prospective users should consult the repository for usage examples, roadmaps, and contribution instructions.

Last Refreshed: 2026-01-09

Key Information

  • Category: Security
  • Type: AI Security Tool
Visit Official Website

Related Tools

Nebula

Nebula is an advanced, open-source, AI-powered penetration testing assistant designed to automate recon, note-taking, and vulnerability analysis. It integrates state-of-the-art AI models (via OpenAI, Ollama, etc.) directly into a command-line interface, streamlining vulnerability assessments and security workflows for cybersecurity professionals.
Taranis AI

Open‑source OSINT platform leveraging AI/NLP to collect, enrich, and analyze open‑source information with collaborative threat‑intel features.
SecureAI Tools

An open-source tool that facilitates document collection and chat-centric interactions with documents using AI.
SecureAI-Tools

A self-hostable suite of private and secure AI tools designed to boost productivity. It offers features such as chatting with AI models and documents (PDFs), local inference supporting 100+ open-source models (via Ollama), built-in email/password authentication, user management, and streamlined deployment using Docker Compose.
BruteForceAI

LLM-powered brute-force penetration testing tool that automates login attacks and form analysis (security tool with potential for misuse).
STRIDE GPT

STRIDE GPT is an AI-powered threat modeling tool that uses OpenAI's GPT models to generate threat models, attack trees, and mitigations based on the STRIDE methodology. It accepts application details and generates outputs including DREAD risk scores and Gherkin test cases, while supporting various LLM providers.