This report, which is based on a survey of 34 leading networking vendors, assesses the evolution of deep packet inspection (DPI) techniques in response to newer and tougher encryption protocols. The report analyzes the introduction of cutting-edge techniques such as machine learning and deep learning, and how these, in combination with advancements in behavioural, statistical and heuristic analysis and caching methodologies are giving rise to next-gen DPI tools with encrypted traffic intelligence (ETI).

If you are a networking solution provider, download this report to understand:

• The effects of new encryption protocols on the management and security of today’s networks
• The limitations of SSL/TLS inspection in addressing encrypted traffic
• Visibility tools used to analyze encrypted traffic
• Encrypted traffic intelligence as a critical feature for next-gen DPI
• ML and DL techniques used in ETI
• Real-time network traffic classification information enabled by ETI
• Demand for next-gen DPI and shifts in DPI procurement choices.