mrwadams/attackgen

Health v2 · maintenance only

Adoption not part of the score

1237 stars · 169 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AttackGen is a Streamlit-based cybersecurity tool that uses large language models to generate tailored incident response testing scenarios based on MITRE ATT&CK and ATLAS frameworks. It lets users select threat actor groups and provide organisation details to produce downloadable tabletop exercise scenarios via multiple LLM providers.

Use cases

• generate incident response tabletop exercise scenarios
• create purple team testing scenarios from MITRE ATT&CK techniques
• simulate AI insider threat incidents for response training
• tailor cyber incident scenarios to my organisation's size and industry
• generate scenarios for specific threat actor groups
• run incident response drills using LLM-generated scenarios
• create AI/ML-specific attack response exercises

When to choose

• you need tailored incident response or tabletop exercise scenarios quickly
• your team trains against MITRE ATT&CK, ICS, or ATLAS techniques
• you want LLM-generated security scenarios with multiple provider options
• you run purple team exercises and need scenario templates

When to avoid

• you need automated technical attack simulation rather than written scenarios
• you require a fully offline tool without any LLM API access
• you need a commercial incident response platform with ticketing and workflow

Facets

application · maturity active

llm-inference prompt-engineering security chat-interface mcp security artificial-intelligence large-language-models developer-tools python self-hosted mitre-attack incident-response purple-team tabletop-exercise threat-intelligence streamlit generative-ai cybersecurity docker web-server

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