Governance is becoming infrastructure
Our founding bet: in the regulated enterprise, AI governance stops being a policy document and becomes a layer in the stack - like identity, like TLS.
Every important control in the modern stack started as a document and became infrastructure. Access policy became identity and RBAC. Encryption policy became TLS, on by default. Change management became CI/CD. The pattern is consistent: once a control matters enough, it moves from something humans promise to do into something the system does automatically.
AI governance is at that inflection point. The policies exist - every enterprise has one. What's missing is the layer that enforces them at runtime, on every request, with evidence. That layer is what we're building.
We started with the wedge where the pain is sharpest and the budget is real: AI governance, security, and policy enforcement for the regulated enterprise. The broader vision - full data governance and security - is the same idea applied to more of the stack.
If we're right, in a few years 'do you govern your AI?' will be answered the way 'do you encrypt in transit?' is today: of course, it's infrastructure.
Further reading