Data is a vital asset to organizations, but when left unprotected, it can become a liability. A recent study showed that approximately 53% of companies had over 1,000 sensitive files open to every employee. To prevent unauthorized actors from handling sensitive data and to ensure business continuity and privacy, all information that is processed by employees via their computers must be thoroughly analyzed for sensitive items.
Endpoint DLP Plus is an integrated DLP solution that leverages data discovery capabilities to diligently scan all endpoints in your network and accurately identify the various types of sensitive information present. This data is then consolidated in the form of dashboard infographics and detailed audits to provide actionable insights that can aid admins in creating precise data security and management protocols.
Data discovery is a process in business intelligence that comprises scanning a network, detecting the various locations that contain data, integrating the data for analysis, and deriving insights that can be relayed to admins, executives, and other IT personnel so they can make informed decisions.
Complete endpoint data discovery software can do the following:
Sensitive data discovery is the extension and application of data discovery principles to various kinds of sensitive information. Information sensitivity (interlink) is a set of strategies to control access to sensitive data that could compromise the security or value of a business if disclosed to others. By detecting and auditing this type of information—such as personally identifiable information, financial documentation, and health records—steadfast information sensitivity can be upheld.
Due to the dynamic nature of data, sensitive information can be dispersed amongst various locations. Within SMBs or especially large enterprises, manually inspecting all endpoints and cataloging stored data is virtually impossible. An effective solution is to implement software for automated data discovery.
Once data is discovered, the underlying relationships between the corresponding sources, systems, users, and other data can also be found. Historical and predictive evaluations can then be made based on these relationships.
By employing software to perform continuous scans, data can be detected when it is newly made or transferred to a different location. Effective tracking leads to successful management.
Instead of having to focus on endpoints individually, dedicated software for data discovery increases operative ease as well as efficiency.
With just a few clicks, Endpoint DLP Plus's centralized management approach enables you to achieve complete data visibility for the managed endpoints within your network. It is ideal for handling high volumes of various types of data.It also provides endpoint summaries that can be visually navigated, in the form of dashboards, so you can quickly absorb data models and recognize trends.