A question buyers ask AI

Which platforms let me set up roles and granular permissions so different teams only see their own agents and data?

Measured in 1 answer, last on Nov 7, 2026. Only the passages that name a brand are shown.

Brands in the answers

BrandNamed inRecommended inPositiveAvg. position
Glean100%100%100%1
Microsoft Copilot Studio100%100%100%2
OpenAI ChatGPT Workspace Agents100%100%0%3
Salesforce Agentforce100%0%0%4
AWS Bedrock100%0%0%5
Google Gemini Enterprise Agent Platform100%0%0%6

Where each answer names a brand

Answer 1 · Nov 7, 2026 · 6 sources cited
Glean#1Recommendedpositive
+ Per-agent roles

“- Per-agent roles: Viewer, Editor, Owner.”

+ Private unshared agents

“- Unshared agents are private to their creator and administrators by default.”

+ Admin-controlled sharing

“- Admins can control sharing with specific audiences.”

+ Permissions enforced across agent library, Slack and API

“- Permissions are enforced across the agent library, Slack and API.”

+ Centralized enterprise knowledge and agents

“- Particularly interesting if you want centralized enterprise knowledge and agents.”

Microsoft Copilot Studio#2Recommendedpositive
+ Departmental separation via Power Platform environments

“- Power Platform environments can separate departments and their agents.”

+ Dataverse security roles

“- Dataverse security roles control create, read, update and delete permissions.”

+ Sharing with Entra security groups

“- Share agents with Microsoft Entra security groups.”

+ Editor and Viewer permission levels

“- Editor and Viewer permissions provide different levels of access.”

+ Environment-level sharing policies

“- Environment-level policies can restrict agent sharing.”

− Transcript permissions apply across environment

“Important: Transcript permissions need particular attention because some transcript roles apply across an entire environment.”

+ Role-based access controls

“- Role-based access controls for building, running and publishing agents.”

+ Individual agent permissions

“- Individual agent permissions: Can chat, Can edit and Owner.”

+ Workspace admin control

“- Workspace administrators control agent capabilities and publishing.”

+ Available for Business and Enterprise

“- Available for ChatGPT Business and Enterprise workspaces.”

− Lacks complete departmental data isolation

“Limitation: Its agent-level sharing controls should not be confused with complete departmental data isolation.”

+ Permission sets and profiles

“- Permission sets and profiles determine which users can access agents.”

+ Restricted agent-specific identities

“- Agent-specific user identities can have restricted permissions.”

+ Field-level security and record sharing

“- Field-level security, record sharing and role hierarchies control data access.”

+ Suitability for Salesforce CRM data

“- Particularly suitable if your agents work with Salesforce CRM data.”

“5. Amazon Bedrock”
+ IAM policies and roles

“- AWS IAM policies and roles control access to agent resources.”

+ Custom service roles

“- Custom service roles determine which models, knowledge bases and other resources agents can access.”

+ Suitable for building own agent platform

“- Strong option for organizations building their own agent platform.”

− Requires infrastructure and engineering work

“Limitation: More infrastructure and engineering work; it isn't a ready-made departmental agent-management interface.”

Google Gemini Enterprise Agent Platform#6mixed
+ Google Cloud IAM roles

“- Google Cloud IAM roles at organization, folder, project and supported resource levels.”

+ Access assignment to users, groups and service accounts

“- Access can be assigned to users, groups and service accounts.”

+ Suited to technical teams on Google Cloud

“- Better suited to technical teams building and managing agents on Google Cloud.”

− Not all resources support resource-level permissions

“Limitation: Not every resource supports individual resource-level permissions.”

Sources the answers cite

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