It’s essential to know the distinction between data protection, security, and privacy when it comes to safeguarding sensitive information. Although they might sound similar, they each have 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 by creating protocols and controls to limit access, monitor activities, as well as detect and respond to threats. Data security is about the integrity of data as well as protecting vital information from unauthorized modifications, while privacy determines what information can be seen by third parties and who can access it.
To manage your data security correctly, you must first conduct an audit of your business infrastructure to determine what kind of data is being stored and from where it comes from. This will allow you to create a map of your system and identify the policies you must implement.
Once you’ve mapped your information, it’s time to build a classification system. This system helps establish access controls for use and modification, and also helps you navigate to these guys meet compliance. It is important to choose a consistent and simple classification scheme, no matter whether you’re using a role or access-oriented schema. This will lower the risk of human error, which can cause data to not be protected.
Then, you’ll have to implement a comprehensive backup plan and disaster recovery plan that protects your data in case of a cyber attack. Encrypting data while at stationary and in transit is one method to ensure that hackers are unable to read your data. It also requires regularly updating your backup and disaster recovery plans to ensure that your company can continue to operate in the event of a cyberattack, or data loss.
