When it comes to securing sensitive data, it’s important to distinguish between data protection, data security, and data privacy. Although they might sound alike, each serves a distinct purpose in your overall data protection strategy. Data protection best practices safeguard your company’s information against loss, corruption, and compromise through protocols and safeguards that restrict access to activity, monitor it, and identify and respond threats. Data security is about the integrity of data as well as protecting vital information from unauthorized modifications, while privacy defines what information is accessible to third parties and who is able to access it.
To organize your data protection correctly, you must first conduct an audit of your company’ infrastructure to identify what type of data and where it comes from. This will help you create a map of your system and identify the policies you’ll need to implement.
Once you’ve mapped your data it is time to create an organization system for classification. This is the foundation for establishing access controls for modification and use and helps to ensure compliance requirements are met. It’s important to use an easy and consistent classification scheme, no matter whether you are using a schema that is based on access or role. This will decrease the chances of human error that could cause data to not be protected.
Additionally, you’ll need establish a comprehensive backup and disaster recovery plan contactdataroom.com/data-privacy-vs-data-protection/ that protects your data in the event an attack from cyber. This includes encryption of data at rest and while in transit to ensure that hackers cannot read your data. It is also essential to regularly update your backup and disaster recovery plan in order to ensure that you’re able to continue to run your business if there is cyberattack.