State of Open-Source DPI Challenges and Opportunities

This research report by Rohde & Schwarz examines the current state of open-source Deep Packet Inspection (DPI) technology, focusing on its challenges and opportunities. The study reveals significant gaps in network visibility and highlights the role of migration tools in facilitating the transition from open-source to commercial DPI solutions for networking and cybersecurity vendors. It notes that while open-source DPI can classify standardized protocols, it struggles with detecting various applications and service types. The report indicates that only 28.3% of vendors believe in its comprehensive application classification capabilities. Furthermore, it discusses the limited adoption of AI techniques, with only 31% of vendors utilizing machine learning and deep learning, which are essential for managing encrypted traffic. The findings suggest that migration tools can significantly ease the transition process, with 82.2% of vendors agreeing on their positive impact. Overall, the report underscores the evolving requirements for higher performance and customer service as driving factors for vendors to consider commercial DPI solutions.