AI-OPS

AI-OPS

AI-OPS is a Penetration Testing AI Assistant that leverages open-source Large Language Models (LLMs) to enhance ethical hacking practices. This tool is designed to assist cybersecurity professionals and enthusiasts in performing penetration testing tasks more efficiently.

Key Features

• Open Source: Fully open-source, allowing users to utilize any LLM with Ollama.
• Assistive Tool: Supports human operators in tasks like generating proof-of-concept exploits and researching vulnerabilities.
• Flexible Model Support: Compatible with various LLMs, prioritizing smaller, efficient models for optimal performance.
• Docker Integration: Easily deployable via Docker for streamlined API access.

Benefits

• Accessibility: Designed for use on limited hardware, making it accessible to a wider audience.
• Educational Purpose: Aimed at enhancing understanding and skills in penetration testing through AI-driven automation.
• Ethical Use: Encourages responsible use, ensuring that users take full responsibility for their actions.

Highlights

• AI-OPS does not directly interact with target systems, ensuring it remains a supplementary tool in real-world workflows.
• The project is currently experimental, with ongoing development and community feedback encouraged.