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Governance & Access

Which AI Models Can My Team Use?

PixSpace Team  ·  Oct 7, 2026  ·  3 min read
Which AI Models Can My Team Use?
PixSpace admin · model registry Engineering Live enforcement
C
Claude Sonnet
Anthropic · served via AWS Bedrock
Approved
C
Claude Haiku
Anthropic · AWS Bedrock platform default
Approved
N
Nova Lite
Amazon · AWS Bedrock
Approved
N
Nova Pro
Amazon · AWS Bedrock cost-restricted for this dept
Blocked

Click a switch this is exactly how admins enable or restrict a model in the registry per department enforced on the very next request.

Last updated Oct 7, 2026
Quick answer
PixSpace lets enterprises control exactly which AI models employees can access Anthropic Claude and Amazon Nova models, served through AWS Bedrock in your own AWS account through a single governed model registry. Admins approve or restrict access by user or department, employees request additional models through a built-in approval workflow, and anything not enabled in the registry simply isn't available to use.

Model allowlisting

Team-level permissions

Usage visibility

Where this fits

PixSpace is an AI governance platform a governed workspace, deployed in your own AWS account, between your employees and the enterprise models they use, giving leadership control without slowing teams down.

Frequently asked questions

Can access rules differ by department?−

Yes. Each department can be given a different set of approved models based on their data sensitivity and use case.

Does blocking a model require an engineering change?−

No. Admins toggle access centrally in the console and it applies immediately, with no code or ticket required.

Can we see which models are actually being used?−

Yes. Every request is logged, giving leadership visibility into real usage by model, team, and person including token volume and cost.

Which model providers are supported?−

Models are served through AWS Bedrock inside your own AWS account Anthropic Claude and Amazon Nova today, with the registry built to enable additional Bedrock models as you adopt them. Prompts never leave your account or train any model.

See model access control in your own AWS account.

One governed registry to approve, monitor, and restrict models by department.

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