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Report: State of open-source DPI - Challenges, opportunities and alternatives
This report examines the impact of increasing application complexity, encryption, and emerging cyber threats on open-source deep packet inspection (DPI). It evaluates AI-based methologies, the adequacy of signature libraries, and the influence of evolving business requirements on vendors' decosions to transition to commercial DPI. It also explores the role of custom migration tools in facilitating this transition.
Ebook
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How DPI unravels Scramble Transform and mitigates QUIC’s latest visibility challenges
In an increasingly encrypted digital landscape, QUIC's recent Scramble Transform introduces significant visibility challenges for network security. Our latest blog post explores the rising adoption of QUIC in HTTP/3-based applications and examines how the IETF's 2024 implementation of Scramble Transform exacerbates existing visibility issues. Discover how next-gen DPI technology can enhance traffic transparency and protect your applications from emerging threats while addressing these challenges
Blog post
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The impact of encryption and AI on open source in DPI: challenges and opportunities
The rise of encryption protocols is transforming network security, presenting both challenges and opportunities for open-source deep packet inspection (DPI) solutions. While open-source DPI excels at handling common encryption methods, it struggles with newer techniques, as well as anonymization and obfuscation strategies. The growing reliance on AI and machine learning in commercial DPI products offers a potential path forward, but open-source projects face obstacles in integrating these technologies due to challenges around data privacy, training, and model sharing.
Blog post
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Latest report by Rohde and Schwarz highlights security and data challenges facing GenAI deployments in networks
Leipzig, Germany, September 1st, 2025 — ipoque, a Rohde & Schwarz company and a leading provider of next-gen deep packet inspection (DPI) software today announced its latest research report ‘Advancing network management with generative AI: The role of DPI-driven traffic intelligence’. The report finds security risks related to GenAI — such as poisoning of training data and query-based data exposure — being the biggest challenge in the adoption of GenAI, affecting 92.0% of vendors.
Press release
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Networking and cybersecurity vendors’ view on open-source DPI in 2024
This article highlights the key findings of our recent report, "State of open-source DPI: Challenges, opportunities and alternatives," including the factors driving the adoption of open-source DPI, as well as its challenges in terms of capabilities, performance, security, and long-term cost effectiveness. In addition, vendors can now make a seamless and rapid transition to commercial DPI tools, and in our article we examine how evolving business requirements influence the decision to migrate to commercial DPI and the role of custom migration tools in accelerating this transition.
Blog post
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