Data exists in one of three basic states: at rest, in process, and in transit. All three require unique technical solutions for data classification. Ninety percent of enterprise data is typically unstructured, unmanaged, and spread across repositories and file shares.Protecting unstructured data is one of the biggest enterprise challenges. Unsecured data leaves enterprises open to lost intellectualproperty, significant fines, loss of investor trust, loss of clients, and lawsuits. The process of data classification allows to categorize the stored data by sensitivity and business impact to understand associated risks with the data.Data classification is the foundation of data security within the corporate firewall and in the cloud.One of the most basic ways for enterprises is to determine and assign relative values to the data they possess. It’s the simplest and most efficient way for enterprises to control and secure their sensitive information against loss, theft, or misuse.
However, modern approaches to data classification have made the process scalable and achievable for all enterprises. The data classification solution ensures all forms of data are classified based on enterprises’ data classification policy and schemes. Digital Track provides an integrated set of discovery, classification, and remediation products that combine these capabilities in one simple workflow. It empowers the precision of automated data discovery and classification, which identifies and eliminates false positives and negativesensuring a better understandingof information patterns specific to an enterprise.
Data classification can also guide incident response efforts by providing detail on what level of information was externally exposed. With Digital Track, enterprises can ensure that all the sensitive data is classified and appropriately protected with persistent encryption that stays with data. It ensures that the focus is always on the data that matters the most and to prioritize threat alerts and identified risks based on those targeting most sensitive and valuable information.