As the new General Data Protection Regulation (GDPR) rapidly approaches, many companies, including you, are struggling to locate sensitive data in the organization.
This new regulation needs you to protect any breach of data and to delete data upon request. After you delete the data, you need to prove to the user and the authorities that you have deleted it completely.
This might seem like such an easy task to do, but it becomes a challenge for those companies that handle tons of data each day such as banks and other financial institutions. With terabytes upon terabytes of data to sift through, you might find it hard to get sensitive data that is necessary for implementing this regulation. Here are a few steps to take to complete this process.
Detect The Necessary data
You need to start by creating a data lineage that helps you understand where the vital data has been thrown. Large companies need to automate the process so as to handle large amounts of data in such a short time. You might think that the process can be easier when you involve more employees, but it will be futile. With millions of files hiding on different storage types, manual detection just won’t cut it.
Detection needs a team to handle the automation the right way. You need someone to oversee the technological part and another one to handle compliance.
You need to know that the information you seek can be found in all manner of files ranging from pdf to images, text to sketches. The good thing is that the automation process will do all the work, all you need is input the correct parameters.
Categorize the Data
Once you get the data that you need for the regulation, you need to mine the data, a process that is still automated. You need to track, block or modify some data types. To achieve this, you need to place the data into categories. This requires you to identify the different data available from different sources. Once you identify the data, you need to put them into entities.
Once you identify the data, the next step is to tag them according to the sensitivity that is defined in the organization. Tagging the files makes them easy to track across the organization and beyond it.
Understand the Data
Once you have come up with the categories, it is time to know what kind of information you have and how to use it in the organization. Analyze the different data patterns to understand what kinds of threats exist on each kind of data so that you can apply relevant protection measures.
Prevent Data Breach
The last step is to prevent the protect the information from breaches. You can do this by working with a company such as Amazing Support that uses scans to recommend the best approach towards protection.
Take time to know what you need to accomplish in order to beat the May 2018 deadline for GDPR compliance. Take time to handle the data preparation process in order to stay safe.