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who we are

Who we are

ipoque, a Rohde & Schwarz company, is a leading vendor of deep packet inspection software that adds protocol and application classification capabilities to network analytics, traffic management and cybersecurity solutions. ipoque also provides a holistic network traffic analytics system for communication service providers that allows deep insights into network behavior, network performance and trends to optimize both quality of experience and quality of service.

what we do

What we do

We offer a variety of solutions, from deep packet inspection (DPI) software to turnkey traffic analytics solutions based on the core technology of our company. We develop the best performing DPI software with the smallest processing footprint on the market. We provide you with valuable insights into your network allowing you to take smart decisions in real time. We care for our customers offering an excellent customer service during the whole sales & product life cycle.

News

Orsec Technologies boosts their next-generation intelligence solution with DPI software by Rohde & Schwarz

RS_image_PR_Orsec-Technologies

Leipzig, Germany – May 22, 2019 – ipoque GmbH, a Rohde & Schwarz company providing market-leading deep packet inspection (DPI) software, today announced that Orsec Technologies SAS has licensed its DPI engine R&S®PACE 2 for their cyber threat hunting solution oorigin®. Providing accurate traffic analytics and a rich set of metadata in real time, R&S®PACE 2 significantly strengthens Orsecs threat hunting capabilities. This allows for more accurate alerts, faster threat detection and enhanced machine learning.

Rohde & Schwarz and Martin Luther University Halle-Wittenberg establish research partnership

Freitreppe am Universitätsplatz_Uni-Halle-Markus Scholz

Leipzig, Germany – May 15, 2019 – ipoque GmbH, a Rohde & Schwarz company, today announced a strategic partnership with Martin Luther University Halle-Wittenberg to establish a joint research program. The R&S subsidiary provides market-leading network analytics solutions for more secure, reliable and efficient networks. The joint research with the Computer Science Institute of the MLU will focus on future technologies like big data analytics, machine learning or artificial intelligence and how they can boost network analytics. The project is intended to run for 4 years.

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