Over the years, open-source deep packet inspection (DPI) has played a pivotal role in advancing the adoption of DPI in general. With zero licensing fees and accessible code, open-source DPI has empowered many organizations to leverage its benefits, including real-time application awareness essential for network connectivity and security.
In this report, we explore how increasing application complexities, encryption, and emerging cyber threats affect the efficacy of open-source DPI. Drawing insights from a survey of 48 leading vendors in networking, cybersecurity, and analytics, we assess the techniques used in open-source DPI, including AI-based methodologies, and evaluate the adequacy of signature libraries in addressing new application and threat patterns. Additionally, the report examines how evolving business requirements influence vendor decisions to migrate to commercial DPI and the role of custom migration tools in accelerating this transition.
Download the report to discover:
- The adoption trends and benefits of open-source DPI
- Advanced analysis techniques for application awareness
- Challenges posed by encryption protocols like TLS extensions and DoX
- Adoption of machine learning and deep learning in addressing encrypted traffic
- Factors driving vendors to migrate to commercial DPI
- Comparative advantages of commercial DPI
- The role of migration tools in vendors’ decision to switch to commercial DPI