AutoGDPR
This initiative consists on a repository where you can check Android apps' compliance with GDPR.
It has been supported by the European Union funds.
The following techniques boost our commitment:
Privacy policies are automatically downloaded and analyzed looking for personal data practices.
The app's network traffic is intercepted and inspected looking for personal data.
The apps code is downloaded and analyzed looking for metadata for further compliance analysis.
Machine Learning, Natural Language Processing and other technologies are used to achieve our goals.
Find out what personal data the apps collect and where they send it to.
Understand how these apps meet the current GDPR regulation according to cross-border transfers.
Our Team has made possible to inform users, developers and regulators
about actual compliance of Android apps with GDPR.
Associate Professor at Universidad Politénica de Madrid (UPM) focused on Security & Privacy topics. His knowledge and leadership is backed by 17 years of experience in research projects.
Researcher at Universidad Politécnica de Madrid focused on Privacy & Compliance topics. Technical experience in emerging technologies such as ML, NLP and NER.
Researcher at Universidad Politécnica de Madrid focused on Network Control and Privacy topics. Professional experience in software development and systems administration.
Junior Researcher at Universidad Politécnica de Madrid focused on Privacy topics. Experience in iOS application automation, as well as in web deployment and development.
This website is part of the TED2021-130455A-I00 project, funded by MCIN/AEI/10.13039/501100011033 and by the European Union 'NextGenerationEU'/PRTR
And know more about this project and our commitment