How to Organize Data Protection

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In the age of digital technology, where data is growing at a record pace and is rapidly becoming the new oil, protecting sensitive data is more crucial than ever. The practice of data protection involves a set of policies and procedures that are designed to avoid information corruption or loss by ensuring the reliability and security of data.

The basic tenets of data security include:

1. Data availability – ensuring that data is always available to users, regardless of whether they are stored online or off. This includes methods for accessing storage, managing, and accessing data according to its context and sensitivity so it is always readily available for reporting, analytics, development, and testing.

2. Data management – ensuring that data is properly managed to meet business and regulatory requirements. This includes preventing access to data by people who are not authorized through policies like role-based access control for data and encryption to ensure that only authorized users have access to data. Also, it is important to limit access to data through tools like classification of files, usage logs and other tools that let organizations to track who accesses which files and when.

3. Privacy of data – ensuring that personal data are processed in a lawful, fair, and transparent manner, and ensuring that data subjects are informed clearly about the purpose of their data. It also involves limiting the processing of personal data to only what is necessary to fulfill the purpose for which it was intended, and to avoid processing that is unnecessary.

Data protection is complicated, but with the right system and execution it can be made easy and efficient. To build a reliable system of organization, it’s important to identify specific goals such as GDPR compliance or personal data security. Software tools that streamline workflow can help plan and implement a system.