How to govern Adoption in OpenAI
A step-by-step guide to governing Adoption in OpenAI with Rencore: detect, review by owner and severity, and remediate with an audit trail.
Governing Adoption in OpenAI means finding where it goes wrong, reviewing the findings by owner and severity, and remediating with an audit trail. Rencore covers this concern for OpenAI 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 Adoption.
Steps
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Inventory OpenAI
Connect OpenAI 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 Adoption in OpenAI 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 OpenAI 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.
OpenAI controls for Adoption
Grounded in the Rencore catalog. See the full OpenAI catalog on the OpenAI connector page.
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Most active users in OpenAI assistants
Shows the user with most activity in assistants (ChatKit)
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Most active users in completions
Shows the top 10 users which created completions
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Most used models in Completions
Shows the top 10 models which are used the most in completions
