> ## Documentation Index
> Fetch the complete documentation index at: https://oculon.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Sensitive data controls

> Protect sensitive content with the right access and visibility controls.

Sensitive planning data needs more than a private link. It needs narrow sharing, predictable visibility rules, and repeatable review.

## Start with least privilege

The safest default is simple: give people the smallest access scope that still lets them do their job.

That usually means:

* sharing the summary surface before the underlying model
* limiting access to the exact audience that needs it
* keeping `Full access` restricted to a small set of accountable owners

If someone only needs the outcome, do not start by giving access to the full planning surface.

## Use the right controls together

Sensitive data protection usually depends on several controls working together:

* least-privilege permissions
* restricted teamspaces or groups
* limited sharing of underlying models and source data
* visibility controls that reduce exposure during screen sharing or live review
* audit and review habits for high-risk content

One control is rarely enough on its own.

## Design for the audience

Not everyone needs the same level of detail.

* Share a board or page when the audience needs a decision-ready summary.
* Share a view when the audience needs one controlled slice.
* Share the full model only when the audience also needs to inspect or edit the planning logic.

This keeps sensitive data from spreading more broadly than the workflow requires.

## Recheck after changes

Sensitive-data risk often appears after the original setup.

Review your assumptions again when:

* content moves between teamspaces or owners
* new groups are added
* a board starts pulling from additional sources
* an executive or external review process begins

The biggest mistakes usually happen during reorganization, not during first creation.


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