The most critical component of a data protection strategy is classifying the organization’s delicate information. Not having it, it really is impossible to effectively shield your data out of exposure and compliance violations.

Although a variety of classification methods are present, most companies employ modifications of the four-level schizzo that becomes categories of sensitive information as public, privately owned, confidential and restricted. This method helps prioritize the level of proper protection that delicate data is certainly afforded, and is particularly useful when dealing with a governed industry just like financial services in which regulatory guidelines such as GDPR may require raised protections just for specific categories of personal information which include but not restricted to racial or perhaps ethnic source, political opinions, and religious or perhaps philosophical beliefs.

User-based classification relies on users to personally tag data to identify that as sensitive and requires significant training to ensure that tags are accurate. Although it can work for some use cases, it is often impractical and difficult to scale — especially when dealing with large amounts of pre-existing data or ongoing creation of new data that must be tagged in real time.

Automated classification is known as a much more effective solution, and Varonis alternatives such as Business Recon or Card Recon offer highly effective automation with pre-built guidelines, intelligent agreement, closeness matching, and more that can be conveniently configured to meet the specific needs of your organization. In addition to reducing the value and complexness of data development, these motors offer a high level of accuracy and speed, making them ideal for safeguarding ongoing business processes their best document creation or re-tagging prior to distribution.