mrwadams/attackgen
AttackGen is a cybersecurity incident response testing tool that uses LLMs to generate tailored scenarios based on threat actor groups and organizational details.

The tool leverages large language models alongside the MITRE ATT&CK and ATLAS frameworks to generate incident response scenarios for security training and testing. Users can select threat actor groups or ATLAS case studies and specify organizational details to receive customized scenarios. It also supports generating AI insider threat scenarios based on frontier AI agent deployment archetypes and threat categories.
Frequently asked
- What is mrwadams/attackgen?
- AttackGen is a cybersecurity incident response testing tool that uses LLMs to generate tailored scenarios based on threat actor groups and organizational details.
- Is attackgen open source?
- Yes — mrwadams/attackgen is open source, released under the GPL-3.0 license.
- What language is attackgen written in?
- mrwadams/attackgen is primarily written in Python.
- How popular is attackgen?
- mrwadams/attackgen has 1.2k stars on GitHub.
- Where can I find attackgen?
- mrwadams/attackgen is on GitHub at https://github.com/mrwadams/attackgen.