Automated data subject rights requests that actually work
Streamline the processing of data subject rights requests, even in complex environments with extensive data sprawl and nested dependencies. Reduce the manual overhead incurred with every request to 0, enabling your security, privacy or data engineering teams to focus on their core work.
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Integrate your internal data stores
  • Enroll structured and unstructured data stores for access and deletion requests, with granular control over what, when and how to delete or retrieve user data.
  • Define user identifiers and establish foreign key relationships between tables to enable Teleskope to intelligently construct a dependency graph, ensuring deletions are processed in the correct sequence.
  • Leverage Teleskope's classification engine to continuously pinpoint where all personal data resides and ensure there are no gaps with what is currently enrolled for DSR requests
Integrate your third-party vendors
  • Automatically propagate deletion and access requests to third-party vendors with fine-grained control, regardless of whether they expose an api endpoint or require email notifications.
  • Streamline DSR requests across third-party vendors without needing to define additional user identifiers. Map vendor identifiers to your structured data stores, enabling Teleskope to automatically retrieve them during processing.
Process DSR seamlessly
  • Track the status of each request in real-time, whether it has succeeded or failed, and receive detailed error messages to facilitate issue resolution.
  • Retry failed requests at a granular level. Target specific tasks associated with a particular table or vendor, minimizing additional load and cost.
  • Interact seamlessly with Teleskope's DSR module through an API-first approach. Submit DSR requests directly from your internal systems, pull the status of each task, and even assign error tickets for streamlined issue management.
Shift data protection left
Integrate data protection in the earliest stages of the development process.
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