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Sensitive Data Center

Sensitive Data Center

Ease your compliance requirements and manage end-user privacy rights requests.

App
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Create a request to review and export personal data about a specific end-user. The overview includes details of all requests, including the relevant user identifier, assignees and reviewers, the current status of each request, as well as the defined due date. Audit logs and request policies can be accessed and managed from this page.In the export request form, you specify the user details such as user type, a user identifier to search for matching data in Grail, and the scope of the search in Grail (the timeframe and log buckets).For each created request, the data matching the executed query are returned and can be viewed by number of log records, volume, data residency, as well as number of systems. The reviewer can then approve or reject export of this data.
  • Product information
  • Release notes

Overview

Sensitive Data Center enables you to easily comply with and handle your customers’ privacy rights (data subject rights) requests in Grail. Out-of-the-box workflows offer an easy way to search for data relating to a specific end-user, review the returned personal data and decide whether to export it or delete it. Sensitive Data Center also allows you to cleanup any mistakenly ingested data in Grail within a selected timeframe. You can track and follow up on your requests in the request dashboard. All these steps are evidenced with an audit trail to meet your compliance obligations.

Use cases

  • Easily filter, query, and review data processed about a specific end-user in Grail.
  • Export personal data relating to a specific end-user to respond to an access request (for example, right of access in the GDPR).
  • Delete personal data relating to a specific end-user to comply with a deletion request (for example, right of erasure in the GDPR).
  • Cleanup any mistakenly ingested data for a specific timeframe.

Get started

  1. Open Sensitive Data Center and configure whether audit logs for changes should be ingested to the default_logs bucket or to a custom bucket. This setting can be changed later.
  2. Start a request to export personal data and follow the steps by specifying user details, the scope of the search in Grail and by defining a reviewer for the request.
  3. Preview the matching personal data in Grail and customize the DQL query before creating the request.
  4. The reviewer views the details of the request with an overview of log records matching the query and systems with personal data before approving or rejecting export of the data.

Details

  • Sensitive Data Center ingests log entries as audit logs. This allows to audit and download historical actions, such as request creation, request approval, and policy creation.
  • Optionally, to enrich or filter request results, Sensitive Data Center allows users to create and manage request policies, for example to prevent deletion of audit logs and compliance records.
Dynatrace
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By Dynatrace
Dynatrace support center
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Full version history

ReleaseDate

Full version history

1.0.2

Minor bug fixes and improvements.

  • Fixed an issue where the due date selection for requests was not working in certain timezones.
  • Added automatic cleanup of workflows previously used by the deprecated Privacy Rights app.
  • Updated third-party dependencies.

Full version history

1.0.1

Privacy Rights has become the Sensitive Data Center! Check out the exciting new features coming soon: https://dt-url.net/sensitive-data-center-blog.

  • Easily filter, query, and review data processed about a specific end-user in Grail.
  • Export personal data relating to a specific end-user to respond to an access request (for example, right of access in the GDPR).
  • Audit and download historical actions, such as request creation, request approval, and policy creation.
  • Delete personal data relating to a specific end-user to comply with a deletion request (for example, right of erasure in the GDPR).
  • Clean up mistakenly ingested data for a specific timeframe.
  • Enrich or filter request results by creating and managing request policies, for example to prevent deletion of audit logs.
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