security · 1 min read
RBAC and ABAC for AI Workspaces
Who can edit what prompt, see which KB, run which agent? RBAC and ABAC give you precise answers. Here is how Bhogar AI implements them.
BABhogar AI TeamProduct & Engineering
Fine-grained access control is what turns a science project into an enterprise platform. Without it, sensitive prompts and KBs leak across teams; with it, you can ship safely at scale.
Why it matters
RBAC handles "who is in what role"; ABAC handles "who can do what under which conditions". Production AI platforms need both, plus an audit trail of every grant and use.
How Bhogar AI approaches it
Bhogar AI ships RBAC roles, ABAC policies, attribute mapping from your IdP, per-resource ACLs and a complete audit log. SCIM provisioning keeps roles in sync with your HRIS.
- Workspace roles + per-resource ACLs
- ABAC policies with IdP-provided attributes
- SCIM provisioning from Okta, Azure AD, Google Workspace
- Audit log of every authorisation decision
- Just-in-time access for sensitive operations
What you get
Enterprise rollouts pass security review without the usual 6-month back-and-forth on access-model gaps.