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  1. Comparing DPI and flow-based analysis for network traffic insights

    This article compares deep packet inspection (DPI) and flow-based analysis. Benefits of DPI such as granular, real-time application and threat awareness are compared with metadata-driven insights produced in flow-based analysis. Other evaluation criteria such as form factors, deployment complexities and standardization requirements are also discussed to ascertain how each analysis type fits different use cases and networking environments.

    Blog post

  2. DPI for SIEM and threat intelligence solutions

    Threat intelligence solutions like SIEMs are widely deployed by security analysts to protect sensitive network assets from the most advanced cyber threats. With about 7 billion internet-connected devices (according to data from IoT Analytics) next-generation SIEMs need to tackle the latest security breaches with advanced analytics. The challenge is in managing SIEM solutions to eliminate false positives and sort through the massive amount of data they supply quickly and efficiently. DPI-powered protocol and application classification by R&S®PACE 2 adds valuable real-time information as SIEM vendors can obtain real-time visibility into both plain and encrypted network traffic, as well as information on traffic KPIs.

    Use Case

  3. 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.

    Blog post

  4. What is deep packet inspection (DPI) and why do we need it? An in-depth guide.

    Deep packet inspection (DPI) provides traffic awareness and visibility. It classifies traffic by protocols, applications and services and helps to detect flows that are malicious, suspicious and anomalous. Next-gen, advanced DPI solutions merge pattern matching with statistical, behavioral and heuristic analyses and AI-based methods such as machine learning and deep learning to deliver real-time traffic intelligence for various networking and cybersecurity use cases. Learn more in this article.

    Blog post

  5. 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.

    Blog post

  6. Deliver cost-effective, high-performance network analytics with optimized DPI

    Deep packet inspection (DPI) is essential for real-time visibility in modern IP networks, driven by escalating traffic volumes. As vendors innovate to meet demand, the DPI market offers a wide variety of solutions. When selecting a DPI solution, the critical factors are cost and performance. Total Cost of Ownership (TCO) analysis ensures alignment with long-term operational and financial needs, considering all expenses over the lifetime of the solution. Learn how DPI software from ipoque is optimized to reduce TCO and improve performance for today's demanding networks.

    Blog post

  7. ZTNA report by Rohde & Schwarz finds nine out of ten ZTNA vendors struggling with traffic visibility

    Leipzig, Germany, March 20, 2024 — ipoque, a Rohde & Schwarz company and a leading provider of next-gen deep packet inspection (DPI) software today published key findings of its latest research report ‘Next-gen DPI for ZTNA: Advanced traffic detection for real-time identity and context awareness’.

    Press release

  8. 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

  9. 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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