Search results
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Where packets meet prompts: how DPI analytics drives generative AI in network management
Transform your approach to network management by exploring the integral role of deep packet inspection (DPI) in empowering generative AI (GenAI). This article uncovers how DPI enhances data quality for AI model training, fine-tunes accuracy, and boosts real-time traffic intelligence for effective inferencing and querying. Additionally, learn how DPI is vital for monitoring, optimizing, and securing GenAI workloads, ensuring you stay ahead in the rapidly evolving landscape of network technology. Unlock the potential to redefine your network strategy today!
Blog post
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Advancing network management with generative AI: The role of DPI-driven traffic intelligence
Discover the pivotal role of Generative AI in transforming network management with insights from 75 top vendors. This report unveils practical strategies, navigates key challenges, and showcases DPI-driven traffic intelligence as your blueprint for maximizing GenAI’s potential and enhancing network performance.
Ebook
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Using AI-based deep packet inspection to power AI-driven networks
In traffic management, AI-powered predictive capabilities enable networking devices to align rules and policies to the future state, ensuring virtually zero policy lags, while removing potential over-corrections that are typical in automation frameworks. This blog post examines how ipoque’s DPI technology and encrypted traffic intelligence enable AI-powered networks to deliver superior predictions and improved outcomes.
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