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Data loss prevention as a privacy-enhancing technology

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Data loss prevention (DLP) is a mature technology deployed by many enterprises to support information security requirements. Key characteristics of DLP also make it a powerful privacy-enhancing technology that can satisfy a wide range of information-privacy requirements. In essence, DLP is a set of integrated technologies that detect sensitive data and prevent unauthorised use, release or delivery to specific destinations or recipients, as well as their storage at prohibited locations. DLP works in real time to identify personally identifiable information and react to privacy risks based on data content and the dynamic context of the information environment. Thus, DLP provides technical enforcement of terms and conditions, or policies more generally, to prevent privacy leaks. This paper provides an overview of the main features and elements of DLP.
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Keywords: content analysis; context analysis; data at rest; data in motion; data in use; data leakage prevention; data loss prevention

Document Type: Research Article

Affiliations: Independent consultant

Publication date: June 1, 2020

More about this publication?
  • Journal of Data Protection & Privacy publishes in-depth, peer-reviewed articles, case studies and applied research on all aspects of data protection, information security and privacy issues across the European Union and other jurisdictions, in the wake of the new EU General Data Protection Regulation (GDPR) and the biggest change in data protection and privacy for two decades.
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