Vision for CRML
Cyber risk today is mostly documented in spreadsheets, PDFs, and slide decks — formats that are hard to version, automate, or integrate with tooling. CRML (Cyber Risk Modeling Language) aims to represent cyber risk as structured, machine-readable models instead of documents. This allows risk scenarios to be version-controlled, generated by tools, and executed through simulations. Over time,...
How I built an internal compliance tracking tool?
I didn’t build our internal compliance tracking tool the traditional way. I vibecoded it. Instead of long PRDs, heavy sprint planning, and weeks of back-and-forth, I stayed close to the problem and built in tight feedback loops — shipping small, observing behavior, and iterating fast. The flow was simple: → Map the real compliance pain points → Ship a scrappy internal version → Watch how teams...
Features of Sense
🚀 Key Features 🛡️ Next-Gen AI Gateway Transparent Proxy: Routes traffic to OpenAI, Anthropic, or Local LLMs (Ollama) seamlessly. Policy Enforcement: Blocks malicious requests (e.g., Prompt Injection) and prevents sensitive data leaks (DLP) in real-time. Dynamic Configuration: Manage routes and backends directly from the UI without restarts. 📊 Advanced Visualization & Dashboard Live World Map: 3D...
What would you expect from an AI copilot for cyber risk?
We built ZIN Advisor to go beyond dashboards — helping teams think, reason, and decide faster. Would love feedback from the community: What should a cyber risk copilot do really well? What frustrates you about current security tooling? Any must-have integrations or workflows? Your input helps shape what comes next.
