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The phrase "a data protection system" is correct and usable in written English.
You can use it when referring to a system designed to safeguard data from unauthorized access or breaches.
Example: "The company implemented a data protection system to ensure the security of its customers' personal information."
Alternatives: "a data security framework" or "a data safeguarding solution."
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The company's new financing will be used to accelerate adoption of IronKey's Trusted Access platform; a data protection system for enterprises and government agencies.
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The data protection system is based on a principle of preventing privacy harm [20].
Austin Kinetic will manage your data protection system to ensure that your data is protected by tape backup.
In this section, we present several basic concepts of the European personal data protection system, which are relevant for honeypots and their functions and data processing.
First, it is the basic preventive principle of the personal data protection system, which regulates the amount of collected data, so it cannot be connected and misused.
GDPR is based on the same principles as the Directive, and thus, it will not change the basic premises of the data protection system.
The EU legal framework, applicable to honeypots and honeynets, consists of the following legal instruments: The primary regulatory instrument, or the lex generalis, of the personal data protection system is currently EU Directive 95/46/EC focused on the protection of individuals with regard to the processing of personal data and on the free movement of such data.
A council has been criticised for breaches data protection systems.
The local authority's data protection systems are scheduled to be audited by the Information Commissioner's Office in the coming days.
The proposed system architecture is oriented to satisfying the requirement on the multiagent system independence of the data protection systems and the data-communication facilities and securing data delivery in case of using the public networks.
This exercise resulted in a (non-exhaustive) overview of problems encountered in public health monitoring, and of major differences between national data protection systems regarding possibilities for using person identifiable health data for public health purposes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com