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GTP correlation for data analytics
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DPI for data loss prevention
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About us | From network data to intelligence
ipoque is a leading provider of deep packet inspection and network analytics software. Founded as a software start-up in Leipzig in 2005 and acquired by the Munich-based Rohde & Schwarz group in 2011, we combine the best of two worlds: agile software development and the resources of an international electronics group.
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ipoque company brochure: From network data to intelligence
Who are we? What inspires and motivates? What makes ipoque the right choice? We have summarized all the facts and arguments on why ipoque is your long-term partner when you need customized deep packet inspection solutions to understand your network data and turn it into actionable intelligence.
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DPI-powered network packet brokers for data center networks
As data center operations grow in size and complexity, visibility into traffic flows becomes a critical network requirement. Discover how a leading provider of traffic filtering and security services for data centers benefits from leveraging real-time application awareness from R&S®PACE 2. This application and traffic visibility enables the intelligent filtering, control and distribution of data center traffic, augmenting the performance and efficiency of data center networks.
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R&S®PACE 2 flow data exporter plug-in
Seamlessly bridge and integrate IPFIX and advanced deep packet inspection software analysis into your networking solution with granular insights into IP traffic up to layer 7 and beyond.
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How to export IPFIX flow data records with DPI
The flow data exporter plug-in by ipoque translates DPI information logs into IPFIX flow records, enabling the convergence of DPI and IPFIX-based analyses. As an extension to our market-leading OEM DPI engine R&S®PACE 2, the plug-in seamlessly enables networks to link their DPI deployments to their IPFIX monitoring systems. This article looks into how the plug-in strengthens various use cases leveraging IP flow analysis including security, network performance monitoring and analytics.
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Miguel Vargas' journey from particle physics to data science
Miguel Vargas, Senior Research and Data Scientist at ipoque, is a prime example for how passion, curiosity and the will to change things can lead to a fulfilling and successful career. In his role as Data Scientist at ipoque he overcomes complex challenges and develops innovative solutions that make use of advances in artificial intelligence. Get to know Miguel, the challenges he overcame and what fascinates him most about his work at ipoque.
People Stories
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Data loss prevention: Risk and reputation management with real-time visibility
To implement data loss prevention (DLP) successfully, organizations must have an in-depth understanding of their business nature, data, transactions, digital assets, endpoints, connectivity, access privileges and existing security policies. This article discusses the need for data loss prevention (DLP) in response to the prevalence of data breaches, infiltration, espionage and data destruction affecting organizations today. It highlights the role of deep packet inspection (DPI) in providing real-time detection of cyber-threats and traffic anomalies and as a means to identify, manage and block both external and insider threats before data security is compromised.
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Managing HetNets: How application awareness drives intelligent mobile data offloading decisions
Mobile data offloading helps operators optimize network capacity, improve network performance, enhance service quality and provide ubiquitous connectivity. Deep packet inspection is key in enabling intelligent traffic offloading: It offers real-time identification of the underlying traffic — whether it is latency-sensitive, mission-critical or bandwidth-intensive — paving the way for enhanced network performance, and service quality.
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