Built an AI-native agentic solution for cybersecurity teams to create, convert, and uplift SIEM rules. Each SIEM speaks a different language and schema, making rule creation and migration slow and error-prone.

Canoma provides one place to create, convert, and uplift rules with schema-aware outputs that pass static validation. The platform can bulk translate or improve hundreds of rules fast, powered by RAG, Langgraph, and state-of-the-art AI model APIs.

I coded (with Cursor), designed (heavily using v0 and shadcn), and handled full product management with guidance from cybersecurity experts from core42.ai and other MDRs. The platform addresses the core pain point of rule management across different SIEM systems.