Artificial Intelligence driven Marketing Communications
SANTA CLARA, Calif.— Hillstone Networks, a leading provider of Enterprise Network Security and Risk Management solutions, announced today that Hillstone Networks has been included in the Gartner Market Guide for Network Traffic Analysis* for its Network Traffic Analysis (NTA) solution, Hillstone Server Breach Detection System (sBDS). We believe this inclusion is a testament to Hillstone’s vision in delivering security that works, as well as its breadth of reach in the market.
The Hillstone NTA solution is based on the most advanced techniques in machine learning and behavioral analytics. These techniques include Abnormal Behavior Detection (ABD), Advanced Threat Detection (ATD), Complete Kill Chain Mapping (CKCM), combined with threat correlation and analysis. As a platform, the Hillstone strategy moves past the typical security analytics to actionable analytics that allows for actual decision making. It empowers and enables the business to see, understand, and act on their security posture.
“Protecting valuable information is a mandate and a major challenge for all organizations in today’s unpredictable cybersecurity landscape,” says Timothy Liu, CTO & Co-Founder of Hillstone Networks. “With Hillstone’s AI-enabled NTA solution, organizations can protect their assets and reputation with the most comprehensive and actionable cybersecurity technology and strategy available.”
*Source : Gartner, Market Guide for Network Traffic Analysis, Lawrence Orans, Jeremy D’Hoinne, Sanjit Ganguli, 28 February 2019
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About Hillstone Networks
Hillstone Networks’ Enterprise Network Security and Risk Management solutions provide visibility, intelligence, and protection to ensure enterprises can comprehensively see, thoroughly understand, and rapidly act against cyber-threats. Recognized by leading analysts and trusted by global enterprises, Hillstone’s solutions cover the enterprise from edge to cloud while improving total-cost-of-ownership. To learn more visit www.hillstonenet.com.