Frontier AI labs are racing to deploy advanced models but often overlook basic security practices. This leads to containment failures and unintended access.
You'd create a lightweight framework with security checklists, monitoring tools, and incident response templates tailored for AI labs.
AI startups and research labs would pay for this as a way to mitigate risks and demonstrate due diligence to investors.
The MVP could be a simple GitHub repo with best practices and a basic monitoring script.
The biggest risk is competing with open-source projects or existing consulting firms.