Data containerization: A simple strategy for significantly enhancing your data security

In Endpoint DLP Plus, admins can leverage data containerization capabilities to peruse all applications within their endpoints, label select applications as trusted and confine sensitive data to only those trusted applications. Furthermore, once these steps are configured, all data originating from these trusted apps will automatically be marked as sensitive and users will not be able to share or transfer sensitive data from trusted apps to unverified apps. In a dynamic network, where users can produce up to 2.5 quintillion bytes worth of data everyday and information is sprawled across many different computers and software applications, Endpoint DLP Plus offers data containerization as an effective tool to prioritize, streamline and safeguard sensitive items from potential threats.

What is the purpose of data containerization within an organization?

Data stored within endpoint devices can be of varying tiers of sensitivity such that while some data is utilized for informal purposes, other files can include critical information. In the interest of efficiency, non-sensitive information can be left as is with minimal risk, while the security of sensitive files can be prioritized by encapsulating them within data containers for optimal protection.

For organizations that foster a BYOD (bring your own device) environment or allow corporate devices for personal use, security policies can't always be implemented for the entire endpoint without inconveniencing the user. Therefore, it is practical to confine just business-related content to data containers.

Why are data containers essential for your organization?

Reduce information sprawl

If sensitive data is scattered across multiple locations, it can stay hidden and any attempts to exploit or misuse it can go unnoticed. By having data containers and designated spaces for archival of sensitive data, it can be astutely monitored.

Can aid in creating appropriate security policies

Universal rules can be established as to how all data stored in containers should be handled. When work applications are configured to act as designated data containers for sensitive files, employees can be blocked from transferring important from work applications into non-work spaces.

Easier to label sensitive data

Data within containers can be automatically labelled as sensitive by default which can make it easier to classify further or streamline into automated data classification systems.

Prevent accidental data leakage

Often data disclosure is caused due to negligence and by people who have legitimate access to their devices. In these scenarios, security measures for the entire device such as password protection will not always be the most fitting. With data containers, even authorized users will be blocked from accidentally transferring critical information from work applications to personal spaces.

Restrict screen capture of sensitive content from enterprise applications

Due to restrictions on sharing data from enterprise to non-enterprise apps, users may attempt to bypass this measure by using clipboard tools to take screenshots of content. Endpoint DLP Plus enables admins to prohibit these programs to take or share images of sensitive files.

What is data containerization?

Data containerization involves applications within the same endpoint device, that act as unique and isolated 'containers' for data. With respect to data loss prevention, trusted applications that are used often within an organization to handle critical data can be delegated as data containers for sensitive information by labeling them enterprise-friendly. Then, instead of securing an entire computer which can be tedious, just the enterprise applications can be protected from unauthorized access. Data containerization with Endpoint DLP can be performed in just a few clicks and is a scalable security measures for organizations of all sizes. Download a 30-day free trial!