Which action best aligns with policy when asked to share a confidential dataset with an external party?

Share the dataset with the external party.

Do not share; follow policy and obtain necessary approvals.

Confidential data sharing is governed by strict governance and privacy rules, so the safest and most appropriate action is to refrain from sharing and follow policy to obtain all necessary approvals before any data leaves the organization. This means confirming who is requesting the data, ensuring there is a formal approval path (often involving data owners, legal/compliance, and a data-use agreement), and going through the approved process to grant access. You may also need to apply data minimization or de-identification and set up secure sharing and audit trails as required by policy.

Sharing the dataset directly would breach confidentiality. Providing only high-level summaries without approvals may violate rules or leave out required safeguards. Waiting to decide later delays governance actions and can create risk and noncompliance. The policy-driven approach balances the need for external collaboration with the responsibility to protect sensitive information.

Provide only high-level summaries without approvals.

Wait and decide later.

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