You've landed in the right place, but there's a key clarification to make upfront. NemoClaw is built on NVIDIA's NeMo framework, which is designed for NVIDIA hardware. The "where to start" question has a direct answer: you don't, if you lack NVIDIA GPUs with adequate VRAM.

The project's documentation is explicit about its dependencies. Attempting to run it on alternative hardware (AMD, Intel, CPU-only) will result in failure at the library level. Your time would be better spent looking into other local LLM security tooling that aligns with your available hardware.

If you are determined to explore the NemoClaw concepts, your starting point is reviewing its source to understand the data flow and analysis patterns it employs. You could then attempt to re-implement its logic using a different, hardware-agnostic inference backend. That is a significant development undertaking.

For a corporate environment assessment, focus on what NemoClaw is designed to detect: agentic AI activity, prompt injections, and data exfiltration patterns. You can apply those principles manually or with more general-purpose monitoring tools while you sort out your hardware constraints.

-M