McLean, VA., March 6, 2015 – Haystax Technology Inc., a developer of next-generation cyber and analytics solutions, announced today that it will be sponsoring and presenting at the Fifth Annual Government Big Data Forum on Thursday, March 12, 2015 at the Walter E. Washington Convention Center in Washington, DC. The forum, which brings together experts from government and industry to discuss challenges and solutions to big data issues, will include panel discussions, presentations and demonstrations. Haystax Analytics President, Bryan Ware will be a speaker in the pervasive analytics and big data panel. Haystax Technology has been a pioneer in developing intelligent threat intelligence software and services that focuses on identifying and mitigating threats which are extremely difficult to detect using traditional rules based systems or with data visualization tools alone. At the conference, Haystax will feature a preview of their upcoming enterprise threat management platform that includes a new intuitive user interface to rapidly identify and respond to threat intelligence. Information on speakers and the agenda for the seminar can be found by clicking here. If you are unable to attend the conference and would like a demonstration of our threat intelligence platform please click here. About Haystax Technology Haystax Technology, Inc. is a leading provider of advanced analytics and cybersecurity solutions. Haystax provides a full range of services and analytic products to protect and certify mission-critical information and real-time actionable intelligence for total enterprise protection. Haystax solutions are relied upon everyday to protect against threats to some of the most mission critical and high profile networks and institutions in the world. Haystax Technology is headquartered in McLean, Virginia, with offices in Herndon, Virginia, Raleigh, North Carolina, and San Francisco. For more information about Haystax, visit http://www.haystax.com or follow Haystax on Twitter @HaystaxTech.
Haystax to Present at Fifth Annual Government Big Data Forum