When it comes to protecting sensitive data, it's essential to know the difference between data protection, data security, and data privacy. Although they may sound identical, they serve different purposes in your organization's overall strategy for protecting data. Data protection best practices can help protect your company's data from loss, corruption and loss through the implementation of procedures and controls that limit access, monitor activities, as well as detect and respond to threats. Data security is about the integrity of data and safeguarding important information from fraudulent changes, while privacy dictates what data can be seen by third parties and who has access to it.

To organize your data protection effectively, begin by conducting an audit of your company infrastructure to determine what kind of data you have and where it comes from. This will allow you to identify your systems and decide the document transaction room policies you need to implement as well as an assessment of risk, which will enable you to prioritize your efforts based on the most significant dangers to your data.

Once you've mapped your data it is time to develop an organization system for classification. This is the foundation for the creation of access controls for modification and use and helps to meet compliance requirements. It is important to choose a consistent and simple classification scheme, no matter the type of schema that is based on access or role. This will reduce the risk of human error, which could lead to data not being secured.

Finally, you'll need to implement a comprehensive backup and disaster recovery plan that protects your data in the event of a cyber-attack. This includes encryption of data in transit and at rest transit to ensure that hackers cannot read your data. It is also vital to update your backup and disaster recovery plan to ensure you can continue operating your business should there be an attack on your network.