InfoWatch in Gartner's 2016 Data Loss Prevention Quadrant

Gartner, a leading technology research and advisory group, included InfoWatch into a Magic Quadrant* for Enterprise Data Loss Prevention.

Gartner puts DLP vendors into a Magic Quadrant according to their completeness of vision and ability to execute. InfoWatch has been positioned in the Magic Quadrant for three years in a row. The fact that InfoWatch is present and highly positioned in Magic Quadrant for Enterprise Data Loss Prevention 2016 proves that the company is still among leading DLP developers. In 2015, InfoWatch also became far more influential in Southeast Asia, Latin America, and India.

The company's focus on customer needs and product feedback and its cutting-edge linguistic data analysis technologies ensure the leadership of InfoWatch Traffic Monitor in the market. InfoWatch Traffic Monitor takes into account both specifics and terminology of various industries and supports multiple and even rare languages. Finally, as another key advantage, the product helps collect evidence and investigate incidents.

Natalya Kaspersky, President of InfoWatch Group:

For analysis we provided Gartner with a new version of InfoWatch DLP solution, and therefore it is great to hear that Gartner has placed us once again in the Magic Quadrant. However we are not going to rest on our laurels – in the year 2016 we are planning to release several new versions of InfoWatch Traffic Monitor”.

*Gartner, Magic Quadrant for Enterprise Data Loss Prevention, Brian Reed, Neil Wynne, 28 January 2016 Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

l.12-.057c.834-.407 1.663-.812 2.53-1.211a42.414 42.414 0 0 1 3.345-1.374c2.478-.867 5.078-1.427 7.788-1.427 2.715 0 5.318.56 7.786 1.427z" transform="translate(-128 -243)"/>