Automation Potentials in Privacy Engineering
Zimmermann, Christian · Gesellschaft für Informatik (GI) · 2020
The GDPR enshrines the privacy by design paradigm in law, making sound privacy engineering methods more important than ever. Integrating automation and extensive tool support into the privacy engineering process has the potential to support organizations in streamlining the implementation of privacy and data protection by design and reducing its cost. Based on a privacy engineering reference process, this paper systematically investigates automation potential in privacy engineering. In particular, it discusses potentials and implications of automation in privacy engineering and illustrates directions for future research.