Over the years, open-source deep packet inspection (DPI) has played a pivotal role in promoting the uptake of DPI in general. With zero licensing fees, codes which can be accessed by anyone and an active user community, open-source DPI has enabled many organizations to experience the benefits of DPI, specifically real-time application awareness which is necessary in powering various contextual and application-based policies for today’s networks.
In this report, we explore how growing application complexities, encryption and new forms of cyber threats are impacting the efficacy of open-source DPI. Based on the views of 48 leading vendors in the networking, cybersecurity and analytics space, the report also assesses the techniques used in open-source DPI, including AI-based methodologies, and the adequacy of its signature libraries in addressing new application and threat patterns. The report also studies how evolving business requirements are influencing vendor decisions to migrate to commercial DPI, and the role of custom migration tools in accelerating this move.
Get your copy to learn more about:
- The adoption and popularity of open-source DPI among vendors
- The major benefits of open-source DPI
- The use of advanced statistical, behavioural and heuristic analysis in open-source DPI for application awareness
- Challenges posed by latest encryption protocols such as TLS extensions and DoX
- The adoption of machine learning and deep learning techniques in open-source DPI to address encrypted, obfuscated and anonymized traffic
- Deployment facilitation, including customer support, provided by open-source DPI
- How the evolution of traffic and business needs are driving vendors to migrate to commercial DPI
- Comparative advantages of commercial DPI
- The impact of migration tool on vendors’ decision to switch to commercial DPI
Leading players in networking, cybersecurity, and analytics:
2h ago / Research Reports / By Ray Sharma
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