Platform / Governance
Policy becomes runtime behavior.
Apply identity, grants, content rules, tool decisions, and approval gates at the point where AI work actually happens.
Live authority
Access narrows at every scope.
Organization, team, resource, and model grants compose into one decision. Missing authority ends the request before spend.
Default deny
Organization
Tenant bound
Support team
Member verified
Policy dataset
Read granted
Frontier model
No grant
What changes
Turn control documents into enforced boundaries.
Governance is applied before spend and re-evaluated for deferred work, so a revoked grant takes effect on the next request or agent turn.
- 01
Default deny
Model and dataset access require explicit grants. Unknown or cross-organization resources do not become an existence oracle.
- 02
Tighten by scope
Platform guardrails establish the floor. Organizations and agents may add restrictions, not weaken the baseline.
- 03
Keep authority current
Team membership, tool policy, dataset access, and personal connections are resolved against live state.
Access model
Separate visibility, use, and administration.
Roles and fine-grained grants keep platform operations distinct from tenant authority. Team membership can grant project and dataset access without sharing credentials.
- Platform and organization role separation
- Read, write, and administrative dataset tiers
- Revocable API keys and short-lived signed tokens
Safety
Screen prompts, evidence, outputs, and tool arguments.
Configured guardrails cover personal data, unsafe content, topic rules, and prompt injection. Retrieved content is screened before it can influence an answer.
- Inbound and outbound content policy
- Fail-closed screening for retrieved evidence
- Guardrail verdicts logged without screened text
Next step
Put the control plane in front of your first production workflow.
We will map your models, data boundaries, approval points, and evidence requirements in one working session.