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Use aiplatform.user role for agent identity permissions #727

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Merged
eliasecchig merged 1 commit into from
Jan 21, 2026
Merged

Use aiplatform.user role for agent identity permissions #727

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2 changes: 1 addition & 1 deletion ...ployment_targets/agent_engine/python/{{cookiecutter.agent_directory}}/app_utils/deploy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -148,7 +148,7 @@ def setup_agent_identity(client: Any, project: str, display_name: str) -> Any:
)

roles = [
"roles/aiplatform.expressUser",
"roles/aiplatform.user",
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@gemini-code-assist gemini-code-assist bot Jan 21, 2026

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The change from roles/aiplatform.expressUser to roles/aiplatform.user significantly broadens the permissions granted to the agent identity. The roles/aiplatform.user role is quite powerful, granting permissions to create, delete, and manage various Vertex AI resources. This goes against the principle of least privilege. For better security, consider creating a custom IAM role that includes only the specific additional permissions required for the agent's complex workflows, rather than using the broad aiplatform.user predefined role. This would limit the potential attack surface if the agent's identity were compromised.

"roles/serviceusage.serviceUsageConsumer",
"roles/browser",
"roles/cloudapiregistry.viewer",
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