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Cybersecurity AI (CAI): An Open-Source Framework for AI Security

Cybersecurity AI (CAI) is a new open-source framework designed to help security teams build and deploy AI-driven tools for offensive and defensive operations. It aims to democratize advanced AI security, making it accessible for researchers, ethical hackers, and organizations to enhance their security posture.

Cybersecurity AI (CAI): An Open-Source Framework for AI Security

A new open-source framework named Cybersecurity AI (CAI) has been released, offering security professionals a powerful toolset for building and deploying AI-driven agents. The framework is designed to handle both offensive and defensive cybersecurity operations, making advanced AI capabilities accessible to a broader audience, including researchers and ethical hackers.

CAI is a lightweight, open-source framework that empowers security professionals to build and deploy AI-powered offensive and defensive automation. It is intended for a wide range of users, from independent security researchers and ethical hackers to internal IT departments and large organizations. The primary goal of CAI is to leverage AI for automating and enhancing security tasks. The framework provides the building blocks to create custom AI agents capable of performing a wide range of security tasks, including vulnerability scanning, exploitation, mitigation, and comprehensive security assessments.

Key features of the CAI framework include its modular, agent-based architecture, which allows users to construct specialized agents for distinct security objectives. The framework comes equipped with a set of built-in tools that cover critical security domains, such as reconnaissance, exploitation, and privilege escalation. Furthermore, CAI includes important safety features, such as guardrails designed to prevent prompt injection attacks and the execution of unsafe commands. The framework supports over 300 different AI models, including those from OpenAI, Anthropic, DeepSeek, and Ollama.

The decision to make CAI open-source is guided by two core principles. First, the belief that advanced cybersecurity AI tools should not be limited to well-funded private companies or state actors. By making CAI open source, the developers aim to give researchers, ethical hackers, and organizations access to the same capabilities, leveling the playing field. Second, there is a lack of clarity around what current AI systems can really do in security, with many vendors downplaying these capabilities. The open nature of CAI promotes transparency, enabling organizations to verify the security mechanisms and identify potential vulnerabilities. Cybersecurity AI is available for free on GitHub.