CAI is an open-source Python framework for AI-powered cybersecurity automation, supporting multiple model providers and configurable licensing modes. It exposes guardrails and agent-based tools for reconnaissance, exploitation, and security tasks.
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What it is
Cybersecurity AI (CAI) is described as a lightweight, open-source framework that empowers security professionals to build and deploy AI-powered offensive and defensive automation. It provides an agent-based architecture with built-in guardrails and tools for security tasks, focusing on mitigation, vulnerability discovery, exploitation, and security assessment.
How it works
CAI presents an agent-based framework intended to compose specialized agents for different security tasks. It supports multiple models/providers (e.g., OpenAI, Anthropic, DeepSeek, Ollama) and offers a licensing mechanism that can be bypassed for open-source operation via an environment variable CAI_LICENSE_OFF. The README notes device- and case-study integrations (e.g., reconnaissance, exploitation, and privilege escalation tools) and guardrails against prompt injection and dangerous command execution. It also mentions a research-oriented foundation and references to technical reports and case studies.
Getting started
The README includes instructions to run CAI without a license:
export CAI_LICENSE_OFF=1
cai
Or inline:
CAI_LICENSE_OFF=1 cai
It also states that the alias1 model requires a valid ALIAS_API_KEY, and CAI_LICENSE_OFF bypasses the framework license gate but does not grant access to Alias-hosted models. Quick start examples are provided for license-off usage.
Recent releases
RELEASES (latest 0):
- none
Traction
REPO indicates 9639 stars and 1408 forks. Issues open: 14. Language: Python. Last push: 2026-07-14. Created: 2025-03-31. License: none listed. These numbers appear under the repository metadata.
Behind the repo
Not included beyond README content and project description. No separate startup/company link section is present in the provided data.
Caveats
License status is not listed in the repository metadata. The README contains warnings about active development and legal restrictions, including a notice about not using for cybercrime and licensing terms, but no formal license text is provided in the excerpt. The age of the project is derived from the created date (2025-03-31) and last push date (2026-07-14).