It is important to understand the difference between security, protection of data and privacy when it comes to protecting sensitive information. Although they might sound alike, each serves an individual purpose within your company’s overall data protection strategy. Data protection best practices help protect your company’s data from loss, corruption and loss by establishing protocols and controls to limit access, monitor activities and identify and respond to threats. Data security is about protecting the integrity of your data and safeguarding critical information against illegitimate modifications while ensuring data privacy rules who can access your data, and what information can be shared with third party.
To ensure that you have a proper system for data security, begin by performing a complete audit of your business infrastructure to identify the nature and origin of data that you collect. This will help you map your systems and determine the policies you need to implement along with an assessment of risk, which will assist you in deciding how to prioritize your efforts based on the greatest risk to your data.
Once you’ve mapped your data it’s time for you to establish an organization for data classification. This system helps establish access control to modify and use the data, and assists you in meeting compliance. If you’re using a role-based or access-oriented classification schema it should be consistent and easy to follow, reducing the chance of human error that can leave data vulnerable.
In the end, you’ll need establish a comprehensive backup and disaster recovery plan that protects your data in case of a cyber-attack. Encrypting your data at stationary and in transit is one way to ensure that hackers are unable to read your data. Also, it is essential to update your backup and disaster recovery plan to ensure that your business can continue operating in the case of a cyberattack or data loss.