When it comes down to the protection of sensitive data, it’s crucial to be aware of the distinction between data protection, data security, and data privacy. While they may appear similar, they each have distinct functions in your company’s overall data protection strategy. Data protection best practices protect your company’s information against corruption, compromise and loss through protocols and controls that restrict access, monitor activity, detect and address threats. Data security is concerned with protecting the integrity of your data and safeguarding critical information against illegitimate changes, while data privacy dictates who can see your data and what information may be shared with other parties.
To properly organize your data protection, begin by performing a complete audit of your business infrastructure to determine the type and source of data that you collect. This will allow you to create a map of your system and identify the policies you must implement.
Once you have mapped your data, it is time to create a classification system. This system is used to establish access controls for use and modification and assists you in meeting compliance. If you’re using a role-based or access-oriented classification schema, it should be consistent and simple to follow, reducing the possibility of human error which could leave data unprotected.
Additionally, you’ll need implement a comprehensive backup plan and disaster recovery plan that protects your data in the event of a cyber attack. Encrypting your data when it is in the point of transit and at rest is one way to ensure that criminals are unable to read your data. Also, it is essential to update your backup and disaster recovery plans to ensure that your company is able to continue to operate in the event of a cyberattack, or data loss.
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