SANKET SARKAR

CRML Code - The AI CLI for CRML practitioners.

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CRML Code is an AI-powered CLI that brings CRML to practitioners who don’t want to write YAML. Give it a company name, vulnerability scan, or simple prompt, and it automatically generates structured CRML scenarios. It resolves organizational context, builds realistic cyber risk models, and runs large-scale simulations to produce financially grounded risk insights and control impact analysis.

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SANKET SARKAR
Hey everyone 👋 A few weeks ago I introduced CRML (Cyber Risk Modeling Language) — an open standard to move cyber risk modeling out of spreadsheets and into something structured, version-controlled, and machine readable. But one piece of feedback kept coming up: "This is great… but I don’t want to write YAML." So we built CRML Code. CRML Code is an AI-powered CLI that generates and runs CRML scenarios for you. Instead of writing models manually, you can simply give it: • a company name • a vulnerability scan report • or even a plain English prompt …and it will generate validated CRML scenarios, resolve organization context, and run large-scale Monte Carlo simulations to produce financially grounded risk insights. The goal here is simple: Make cyber risk modeling accessible to practitioners, not just risk analysts or spreadsheet experts. If you work in security, risk, or GRC, I’d love to hear: - What inputs would you want to model risk from? - What outputs would actually help you make decisions? Happy to answer any technical questions here. Thanks for checking it out 🙏
Nikita Blinov

This looks like a really strong way to make CRML much more approachebale for practicioners who don't want to deal with YAML directly. Just curious, how you help users understand the assumptions behind the generated scenarios though – it feels like making this easier is a huge win, and at the same time transparency becomes even more important for trust