ANNA OS powered ASAMIA AI · Intelligence

ASAMIA AI access controls

Define who can use intelligence, who can change its configuration and which tasks each role may perform.

Documented capability

ASAMIA ANNA OS concept: permission keys and separated access gates — ANNA OS · Concept illustration

Purpose and business value

AI access controls separate everyday use from privileged configuration changes. A business role should receive only the task and information access it needs; a configuration owner should not automatically gain access to every business record. Production controls require authenticated, server-enforced permissions and traceable administrative actions.

Least-privilege planning reduces accidental exposure and makes responsibilities clearer across business and technical teams.

Business use cases

Department-scoped work

Define which knowledge and intelligence functions a sales SAM may use without granting access to employee records.

Configuration ownership

Reserve policy changes for authorised reviewers while allowing operational staff to submit normal task requests.

Access review

Review permissions when a role changes, a team member leaves or a new sensitive workflow is proposed.

Technical requirements

01
Verified identities and a least-privilege permission matrix
02
Server-side authorisation and role-scoped information access
03
Administrative audit records and revocation procedures
04
Approved model modality and endpoint access

Functional specification

The access design should distinguish task use, configuration edit, approval and audit review. Each permission needs an owner, scope and revocation path; consequential checks belong on the server.

Operating controls

Model-access controls shown in the sample workspace are simulations. They do not establish production permission enforcement or reconfigure live AI access.

Model choice & ANNA LLM