Data protection
Thank you for your interest in our company. Data protection is of a particularly high priority for the management of Cyberdasein UG (limited liability). Use of the Cyberdasein UG (limited liability) website is generally possible without providing any personal data. However, if a data subject wishes to use our company’s special services via our website, it may be necessary to process personal data. If the processing of personal data is necessary and there is no legal basis for such processing, we generally obtain the consent of the person concerned.
The processing of personal data, for example the name, address, e-mail address or telephone number of a person concerned, is always carried out in accordance with the General Data Protection Regulation and in accordance with the country-specific data protection regulations applicable to Cyberdasein UG (limited liability). By means of this data protection declaration, our company would like to inform the public about the type, scope and purpose of the personal data we collect, use and process. Furthermore, data subjects are informed about their rights by means of this data protection declaration.
As the controller, Cyberdasein UG (limited liability) has implemented numerous technical and organizational measures to ensure the most complete protection of personal data processed through this website. However, Internet-based data transmissions can generally have security gaps, so that absolute protection cannot be guaranteed. For this reason, every person concerned is free to transmit personal data to us in alternative ways, for example by telephone.
1. Definitions
The data protection declaration of Cyberdasein UG (limited liability) is based on the terms that were used by the European legislator of directives and regulations when the General Data Protection Regulation (GDPR) was adopted. Our data protection declaration should be easy to read and understand for the public as well as for our customers and business partners. To ensure this, we would like to explain the terminology used in advance.
We use the following terms in this data protection declaration:
a) personal data
Personal data is all information that relates to an identified or identifiable natural person (hereinafter “data subject”). A natural person is regarded as identifiable who, directly or indirectly, in particular by means of assignment to an identifier such as a name, to an identification number, to location data, to an online identifier or to one or more special features that express the physical, physiological, genetic, psychological, economic, cultural or social identity of this natural person can be identified.
b) data subject
The data subject is any identified or identifiable natural person whose personal data is processed by the person responsible for processing.
c) Processing
Processing is any process carried out with or without the help of automated procedures or any such series of processes in connection with personal data such as the collection, recording, organization, ordering, storage, adaptation or change, reading, querying, use, Disclosure through transmission, distribution or any other form of provision, comparison or linking, restriction, deletion or destruction.
d) Restriction of processing
Restriction of processing is the marking of stored personal data with the aim of restricting their future processing.
e) Profiling
Profiling is any type of automated processing of personal data that consists of using this personal data to evaluate certain personal aspects relating to a natural person, in particular aspects relating to work performance, economic situation, health, personal To analyze or predict the preferences, interests, reliability, behavior, whereabouts or relocation of this natural person.
f) pseudonymization
Pseudonymization is the processing of personal data in a way in which the personal data can no longer be assigned to a specific data subject without the use of additional information, provided that this additional information is stored separately and is subject to technical and organizational measures that ensure
