AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK framework. The tool generates tailored incident response scenarios based on user-selected threat actor groups and your organisation's details. Star the Repo If you find AttackGen useful, please consider starring the repository on GitHub. This helps more people discover the tool. Your support is greatly appreciated! ⭐ Features Generates unique incident response scenarios based on chosen threat actor groups. Allows you to specify your organisation's size and industry for a tailored scenario. Displays a detailed list of techniques used by the selected threat actor group as per the MITRE ATT&CK framework. Create custom scenarios based on a selection of ATT&CK techniques. Capture user feedback on the quality of the generated scenarios. Downloadable scenarios in Markdown format. 🆕 Use the OpenAI API, Azure OpenAI Service, Mistral API, or locally hosted Ollama models to generate incident response scenarios. Available as a Docker container image for easy deployment. Optional integration with LangSmith for powerful debugging, testing, and monitoring of model performance. Releases v0.4 (current) What's new? | Why is it useful? —|— Mistral API Integration | – Alternative Model Provider: Users can now leverage the Mistral AI models to generate incident response scenarios. This integration provides an alternative to the OpenAI and Azure…Read More