ipoque blog

Whitepaper: Why network security requires deep packet inspection

What is needed to identify, investigate and block attacks in this ever-changing threat landscape? The answer is deep visibility into network traffic, up to the application layer and beyond, as provided by the advanced OEM DPI engine R&S®PACE 2. For network security vendors to help customers effectively block and mitigate threats, this visibility is a critical prerequisite for the stability and reliability of modern cybersecurity solutions.

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Case Study: DPI enables complete network perimeter protection

To prevent hackers from infiltrating the network, CELARE, a major provider of network security solutions, has embedded the deep packet inspection (DPI) software R&S®PACE 2 by ipoque, a Rohde & Schwarz company into their network monitoring platform to obtain real-time insights into network traffic, revealing potential threats before they strike.

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DEM deployments to grow ninefold over the next three years — DPI-driven application awareness critical to sustaining growth

Leipzig, Germany, April 21, 2021 — ipoque GmbH, a Rohde & Schwarz company and provider of industry-leading OEM deep packet inspection (DPI) software, today published their first report on digital experience monitoring (DEM), addressing user experience monitoring for cloud and software as a service (SaaS), and the importance of real-time traffic intelligence provided by DPI. The report, which is based on a survey of leading DEM vendors, finds that 91 % of DEM vendors identify DPI as a key capability for enhancing DEM monitoring insights.

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Whitepaper: DPI for application performance monitoring

In a world run by millions of real-time applications, insights into the network are critical to both network service providers and enterprises in ensuring that applications continue to deliver the experience and service levels expected by users. Discover in this whitepaper how network intelligence in APM solutions, delivered by deep packet inspection (DPI) technology, helps enterprises and service providers monitor and manage the performance of their applications, determining root causes of performance issues, detecting inappropriate traffic and security risks, and reacting to network slowdowns before they impact end users.

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R&S®PACE 2: a lightweight DPI engine for big network performance gains

Performance vs. cost – Why is having a small memory footprint important for DPI deployed in virtualized and containerized environments? This article discusses the implications of a DPI engine with a small memory footprint on network and application performance, across virtualized and containerized architectures as well as the network functions into which it is embedded.

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How advanced traffic identification complements honeypot networks

Honeypot networks are fake IT systems used to bait cyberattackers, learn from them and consequently improve actual cybersecurity. They are designed with a well-placed vulnerability to attract hackers. Once a hacker is in the network, the honeypot allows for monitoring and analyzing the malicious activity. For such networks, deep packet inspection is a great asset. It identifies malicious activity almost instantaneously, helping honeypot networks to detect threats as soon as they enter the network.

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Barracuda firewalls rely on R&S®PACE 2

Customer product: CloudGen Firewall F-series

“[...] Beyond award-winning products, we are committed to provide excellent support to our customers and partners. This is only possible if our technology partners can live up to the same high expectations and standards. [...]”

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Saint Security embeds R&S®PACE 2

Customer product: Advanced malware response solution

“The content and metadata extraction functionality provided by the DPI engine R&S®PACE 2 allows us to extract fine-grained information of file content. The information helped us to [...]"

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Orsec Technologies SAS embeds R&S®PACE 2

Customer product: AI-based threat detection solution

"The content and metadata extracted from traffic flows by the DPI engine R&S®PACE 2 provides a rich information feed we use to boost our machine learning for user and device behavior analytics. This empowers our solution to [...]

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