How to Organize Data Protection

It’s crucial to understand the distinction between data protection, security and privacy when it comes to safeguarding sensitive information. Although they may sound same, each serves distinct purposes in your company’s overall data security strategy. Data protection best practices help secure your company’s data against loss, corruption and loss through the implementation of protocols and controls to restrict access, monitor activities, and recognize and respond to threats. Data security concerns the integrity of data and safeguarding vital information against illegitimate change, while data privacy defines what information can be viewed by third parties and who is able to access it.

To properly organize your security of your data, start by performing a complete audit of your company’s infrastructure to determine the type and source of data you store. This will enable you to define your system and establish the policies you must implement.

Once you have mapped your data, it’s time to build an organization system for classification. This is the foundation for the creation of access controls for modification and use and helps to meet compliance requirements. It is essential to implement a simple and consistent classification scheme, regardless of the type of schema that is based on access or role. This will decrease the risk of human error, which can result in data not being protected.

Then, you’ll have to implement a comprehensive backup and disaster recovery plan that safeguards your data in case of a cyber-attack. This includes encrypting data during its rest and in transit to ensure that hackers cannot access your data. It is also important to update your backup and disaster recovery plan in order to ensure that you are able to continue running your business even in the event of an attack from cyberspace.

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