In this digital age – when data is growing exponentially and is becoming the new oil – protecting sensitive information has become more crucial than ever before. Data protection is a set policies and procedures designed to safeguard against data loss or corruption. This ensures data integrity and availability.
The following are the fundamental principles of data protection:
1. Data availability – ensuring that data is always accessible to users, whether they are stored online or off. This includes methods for accessing storage, managing, and accessing data based on its context and sensitivity, so it is always readily accessible for reporting, analytics, development, and testing.
2. Data management – Ensuring data is managed to meet legal and business requirements. This includes preventing unauthorised access to data through the implementation of policies that are based on roles, such as access control and encryption, which ensure that only authorized users are able to access data. It also means limiting access to data via tools, such as the classification of files and usage logs, that allow organizations to keep track of who is using which documents and how they are used.
3. Privacy of data – ensuring that personal data are processed in a legally transparent, fair, and fair way, and that data subjects are informed clearly about the purpose of their data. This also means limiting the processing of personal data to what is essential for the intended purpose and not allowing unnecessary processing.
The process of organizing data security can be a difficult process but it can be made simple and effective with the appropriate system. To build a reliable system of organization, it’s important to identify specific goals such as GDPR compliance or personal data security. From there the system can be developed and implemented using software tools that simplify the workflow.
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