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Open-source MVP for cyber risk prioritisation from a company description

Open-source MVP for cyber risk prioritisation from a company description

via Dev.to PythonRizwan Ul Haque

Found this interesting project: GitHub: https://github.com/astraut-solutions/astraut-risk-reasoner-mvp Demo: https://astraut-risk-reasoner-mvp.streamlit.app/ Instead of scanning infra, it works from a simple idea: 👉 “Given how this business operates, what are the likely risks?” You input a company description, and it outputs: Risk score Top risks Recommendations 7-day action plan It’s based on a structured questionnaire + reasoning layer, so outputs are deterministic “risk signals” rather than scan results. CLI needs a GROQ_API_KEY, but demo works without one. My take: Good for: Early-stage startups Fast risk framing Non-security teams needing direction Not for: Vulnerability discovery Infra-level validation Replacing pentests Feels like a useful first step before deeper security work, especially where nothing formal exists yet. Curious if anyone here is using similar approaches for early risk prioritisation.

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