When it comes down to the protection of sensitive data, it’s essential to know the difference between data protection, data security, and data privacy. While they may sound the identical, they serve distinct purposes in your company’s overall strategy to protect your data. Data protection best practices safeguard your company’s data from loss, corruption, and compromise through protocols and controls that limit access to activity, monitor it, and identify and respond threats. Data security concerns the integrity of data as well as safeguarding important information from fraudulent changes, while privacy defines what information is accessible to third parties and who can access it.
To properly manage your security of your data, start by conducting a thorough audit of your company’s infrastructure to identify the type and origin of data you collect. This will enable you to map your system and determine the policies you must implement.
Once you’ve mapped your data it’s time to create an organization for data classification. This system is used to create access controls to modify and use the data, and also helps you meet compliance. It is crucial to have an easy and consistent classification scheme, no matter whether you are using a role-based or access-oriented schema. This will lower the chance of human error, which could result in data not being protected.
You’ll also need to implement an extensive backup and disaster recovery plan that protects your data in the event of a cyberattack. Encrypting your data when it is in stationary and in transit is one method to ensure that criminals cannot read your information. Also, it is essential to update your disaster recovery and backup plan to ensure that your business can continue operating in the event of a cyberattack. data loss.