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Overview: Data Loss Prevention (DLP)

Quick Definition

Plurilock AI DLP, Symantec DLP, Forcepoint DLP, and Netskope DLP are examples of DLP platforms that can be used to ensure that sensitive data isn't shared, uploaded, downloaded, or copied without permission.

For an example of DLP in action, imagine the following scenario. An overexcited employee is shown a new discovery inside the company. It's an exciting discovery whose value is considerable, and despite rules against doing so, they very badly want to share this discovery with their friends and family.

Because the company has DLP in place, when they attempt to email a copy of the technical slide deck to their best friend, the email is blocked by DLP before it ever leaves the company. They attempt instead to upload it as a file to Google Drive to share there, but that upload is also blocked by DLP. They decide to just copy and paste it into a Messenger chat, but find that they are unable to copy or paste it.

This is an example of DLP doing its job. An organizations make rules about what kinds of content, what types of information, what keywords, and so on, can be shared by whom. Once these rules are in place, the data is protected—the ability to access, download, upload, share, even copy and paste data of various kinds is managed by the DLP platform.

Whether you use the affordable, powerful Plurilock AI DLP platform or some other platform, if you are a business owner or manage an organization of any size, DLP is an important part of your cybersecurity toolkit.

Quick Definition

If you operate a business or are an organization that handles sensitive data then yes, you need data loss prevention (DLP). Note that sensitive data doesn't just mean government secrets or private healthcare records—it can mean anything that shouldn't be shared with the general public.

For most companies and organizations, this can include all kinds of data—operational and financial records, trade secrets and intellectual property, even just everyday information that would negatively affect the organization if it was disseminated.

Contrary to what many imagine, your data isn't safe just because your organization requires strong passwords or multi-factor authentication (MFA).

Those technologies are designed to ensure that strangers can't access your systems directly—but they do nothing to ensure that your employees don't email, share, copy, or otherwise provide inappropriate data to third parties. This is what DLP is designed to do—to stop sensitive data from "leaving" your systems inappropriately, no matter who is actually making the attempt.

In cases where, for example, and employee might email or share a sensitive document with a third party, no login protection will prevent the issue. DLP, however, will detect that this is information that should likely not be shared and will block the sending or sharing attempt.

Whether you adopt the affordable, powerful Plurilock AI DLP platform or some other DLP platform, for most companies and organizations, DLP should be considered a required basic security technology.

Quick Definition

Data loss prevention (DLP) tools enable organizations to implement controls on who can act on data, in what ways, based not only on file or resource-level access controls, but on awareness and classification the substance of the data as well.

DLP software platforms often consist of a variety of components notably including endpoint controls that enable policy to be set around the means by which data is transmitted or shared—file copy and send operations, clipboard copy and paste, email and other communications channels, and storage devices, among other things.

From an integrated perspective, data loss prevention also includes considerations around physical and building security, policy and procedure, and other factors that help to protect organizations' most sensitive and confidential data.

As cloud computing grows, data loss prevention is also evolving to include controls and policy to manage how data moves through and between cloud systems, in many cases never traversing local endpoints or local networks at all.

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