It’s important to know the difference between security, protection of data and privacy when it comes to safeguarding sensitive information. While they may appear similar, they each have an individual purpose within your overall data protection strategy. Best practices for data protection help protect your company’s data from corruption, compromise and loss by creating protocols and safeguards to limit access, monitor activity, as well as detect and respond to threats. Data security is about protecting the integrity of your data and protecting critical information from illegal changes while data privacy dictates who can see your data, and what information can be shared with third-party organizations.
To ensure your data protection properly, begin by performing an audit of your business infrastructure to determine the kind of data you have and where it originates from. This lets you map your systems and determine what policies you must implement and an assessment of risk, which will enable navigate to these guys you to prioritize your efforts based on the greatest risk to your data.
Once you’ve mapped your data, it’s time to create an organization for data classification. This is the basis for setting up access controls for modification and use and helps you meet compliance requirements. It is crucial to have a simple and consistent classification scheme, no matter whether you are using a role-based schema or an access-oriented one. This will lower the risk of human error, which can cause data to not be protected.
You’ll also need to implement a comprehensive backup and disaster recovery plan to protect your data in the event of a cyber-attack. Encrypting your data when it is in rest and in transit is one method to ensure that hackers cannot access your information. It is also necessary to regularly update your backup and disaster recovery plans to ensure that your company can continue operating in the event of a cyberattack or data loss.
