How to govern Operation in Gemini
A step-by-step guide to governing Operation in Gemini with Rencore: detect, review by owner and severity, and remediate with an audit trail.
Governing Operation in Gemini means finding where it goes wrong, reviewing the findings by owner and severity, and remediating with an audit trail. Rencore covers this concern for Gemini with the pre-built controls below, so it becomes a repeatable check rather than a one-off cleanup. The steps that follow apply the same detect, review, remediate loop to Operation.
Steps
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Inventory Gemini
Connect Gemini and let Rencore build a continuous inventory of its resources, owners, and configuration, so governance starts from what exists rather than a stale export.
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Detect with policies
Turn on the pre-built policies that cover Operation in Gemini to surface oversharing, sprawl, and misconfiguration on the first scan, before writing a single custom rule.
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Review by owner and severity
Use the Gemini reports to review findings by owner, category, and severity, and to share them with stakeholders who do not have a seat in the platform.
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Remediate and automate
Apply automations to fix findings at scale, route sensitive changes through approvals, and keep every action reversible and logged for the audit trail.
Gemini controls for Operation
Grounded in the Rencore catalog. See the full Gemini catalog on the Gemini connector page.
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Gemini tuning job in failed state
Detects fine-tuning jobs that have failed
Severity: Medium -
Gemini pipeline job in failed state
Detects ML pipeline jobs that have failed
Severity: Medium -
Gemini model not updated in 90 days
Detects models in the registry that have not been modified in the last 90 days
Severity: Medium -
Gemini endpoint not updated in 90 days
Detects model serving endpoints that have not been modified in the last 90 days
Severity: Medium -
Gemini engine not updated in 90 days
Detects Agent Builder engines that have not been modified in the last 90 days
Severity: Medium -
Gemini project with too many failed pipeline jobs
Detects projects that have more than 10 failed pipeline jobs
Severity: Medium -
Tuning Jobs by State
Distribution of Vertex AI model tuning jobs by current state
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Pipeline Jobs by State
Distribution of Vertex AI pipeline jobs by current state
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Notebook Runtimes by State
Distribution of Vertex AI notebook runtimes by current runtime state
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Failed Pipeline Jobs
Vertex AI pipeline jobs in a failed state
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Succeeded Pipeline Jobs
Vertex AI pipeline jobs that completed successfully
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Failed Tuning Jobs
Vertex AI model tuning jobs in a failed state
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Succeeded Tuning Jobs
Vertex AI model tuning jobs that completed successfully
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Delete Gemini Agent
Automatically deletes a Gemini agent (Reasoning Engine) after approval
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Delete Gemini Endpoint
Automatically deletes a Gemini endpoint after approval
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Delete Gemini Data Store
Automatically deletes a Gemini data store after approval
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Stop Gemini Notebook Runtime
Automatically stops a Gemini notebook runtime after approval
