In the age of technology where data is growing at a rapid rate and is fast becoming the new oil, protecting sensitive information is more essential than ever. Data protection refers to a set of policies and procedures that are designed to prevent data corruption or loss. This ensures data security and reliability of data.
The following are the main principles of data protection:
1. Data availability – ensuring that data is always accessible to users, regardless of whether they are stored online or off. This includes methods of accessing the data, storing it, and managing data in accordance with its context and sensitivity, making it always available for analytics, reporting as well as development and testing.
2. Data management – Ensuring that data is managed in a way that meets the requirements of regulatory and business. This includes preventing unauthorised access to data by implementing rules, such as role-based access control and encryption, which ensures that only authorized parties are able to access data. Additionally, it is important to limit access to data through tools like usage logging and file classification that enable companies to track who uses the documents and how they are utilized.
3. Data privacy – Ensuring personal data are processed in a lawful transparent, fair, and fair manner, and that data subjects are informed clearly about the processing of their data. It also requires the processing and collection of personal information to what is necessary for its intended purpose.
Data protection is a complex process however, with the right system and proper execution it can be made simple and efficient. The key to establishing an effective system for organization is identifying goals like ensuring the GDPR’s compliance as well as ensuring personal data security. From there the system can be planned and implemented using software tools that help streamline the process.