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Data Subject Access Requests

Identification of personally identifiable information - automated, context-based, multi-lingual.

Know what to report and how to react

Every company stores personal data. A Data Subject Access Request (DSAR) is a request from a data subject, e.g. a former employee, to be provided with a copy of the personal data being processed by a data controller and an explanation of the purposes for which the stored personal data is being used.

The GDPR imposes exorbitant fines if required reports can not be produced within days. However, in an age of exponentially growing data volumes, diverse information silos, and a wide variety of data protection models, it is becoming increasingly difficult to meet the legal requirements.

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Instant information on:

Which files are relevant in the case? Quickly find files containing personal information of the data subject.
What personal information was included? Get an instant overview of all types of personal information.
Which files need reporting? Easily produce a list of relevant documents.

Detect more than 200 types of personal data - no matter where it is stored.

  • Automatically identify more than 200 different types of personal data from credit card numbers to health insurance identifiers
  • Extensive support of unstructured data, e.g. Word/PDF files, e-mails or presentations
  • Context-based analysis powered by computational linguistics and artificial intelligence
  • Huge set of connectors to pull data from almost any conceivable document repository
  • Efficient workflows for processing internal or client data
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1 Month

Whenever an individual files a legitimate request, data controllers must reply to the data subject within one month - carefully redacting out information that cannot be shared, such as other people’s PII.

$24M

The GDPR sets exorbitant fines of up to $24 million or 4% of the total worldwide turnover of the preceding financial year - whichever is higher - for infringements.

$315k

The cost per request starts at $200 and can run into the hundreds of thousands. The main cost drivers are verification, diverse technology, data volume and blurred requirements.

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