Policy kernel
Define allowed tools, scopes, risk levels and approval conditions outside model prose.
Governance remains a separate layer so model upgrades, prompt changes and new tools do not silently expand authority.
Govern AI employees, workflows, devices and agent permissions with explicit policy and review.
Define allowed tools, scopes, risk levels and approval conditions outside model prose.
Separate owner, admin, operator, developer, member and viewer responsibilities.
A user can have access to one product without inheriting every capability in the platform.
System improvements pass through tests, migrations and release gates instead of direct production edits.