Compliance tools give you checklists. Governance.dev gives you an operating system: a living knowledge graph of your people, systems, models, and APIs, with governance lenses and a compliance layer that never stops watching.
Connectors and discovery scans build your entity registry automatically: people, infrastructure, AI models, APIs, vendors, and data stores.
The Infer engine resolves entities, scores confidence, and detects missing context, so the graph reflects reality, not just imports.
Targeted questions go to the right owners for what discovery can't see. A confirmed "none" is a signal, not silence.
Controls map to your actual graph. Readiness is computed per tenant, from applicable controls only, and decays as evidence goes stale.
AI governance, API governance, and GRC aren't separate products bolted together. They are lenses over the same organization knowledge graph, so evidence collected once serves every framework.
Discovery scans surface every AI system in use, sanctioned or shadow, and map each one to the obligations that apply to it.
APIs are entities with edges: to the data they expose, the services that call them, and the people who own them. Govern them like it.
A full controls, policies, tests, evidence, and gap-analysis spine, with frameworks as data instead of hardcoded checklists.
Everything your organization governs is an entity: a person, a laptop, a model, an API. Governance lenses shape which checks apply to each one. The compliance layer runs horizontally across everything, holding it all to risk, audit, and regulatory standards.
Most platforms show a readiness number that only moves when someone clicks a checkbox. Ours is computed from your live graph: which controls actually apply to your entities, which evidence backs them, and how fresh that evidence is.
Evidence ages, so the score does too. When an access review goes stale or a model ships without a risk assessment, readiness drops before the audit finds it, and the workspace shows exactly which consequence is on the line.
Connect your stack, or start with the guided no-connector path. Either way, the graph starts learning your organization today.