gartner evaluates data loss prevention tools in latest magic quadrant
DESCRIPTION
Industry analyst firm recently published its latest Magic Quadrant for Data Loss Prevention, providing guidance to corporate customers on software vendors. As part of the quadrant, Data Loss Prevention Tools are mapped to a model that rates them as leaders, visionaries, challengers, and niche players.TRANSCRIPT
Gartner Evaluates Data Loss Prevention Tools in LatestMagic Quadrant
Industry analyst firm recently published its latest Magic Quadrant for Data Loss
Prevention, providing guidance to corporate customers on software vendors. As part of
the quadrant, Data Loss Prevention Tools are mapped to a model that rates them as
leaders, visionaries, challengers, and niche players.
Symantec, EMC, Websense, and McAfee were listed in the leaders quadrant again in this
year’s report. Between these four vendors, they capture about 65% of the installed market
for Data Loss Prevention tools. Customers evaluating solutions have many options to
consider as the field also includes many new and emerging players, including DLP-lite
and channel DLP integrated with email encryption solutions.
Gartner estimates the market for data loss prevention tools grew to $670 million in 2013,
up from just $300 million in 2010 just three years ago. Content-aware DLP inspects
content such as files, emails, and other data and applies regulatory and compliance
policies for acceptable use. If a piece of protected information is discovered in an email,
for instance, a DLP solution can notify the user of the error.
When used to its full extend, DLP is not just a transparent security tool invisible to the
end user like a firewall. When users violate a DLP, they are notified and educated about
the issue so they can correct future behavior to align with corporate policies. This
represents a significant shift for many organizations since users may not react positively
to having emails blocked because a compliance violation.
As more content migrates to the cloud, companies are also looking to extend their
existing DLP policies and tools to data stored on cloud services. Another challenge for
DLP at the endpoint is the proliferation of mobile devices with fragmented OS
ecosystems such as Google’s Android which has numerous distinct operating system
flavors in production across millions of smartphones made by different manufacturers.