Next-gen deep packet inspection, machine learning & deep learning to detect encrypted traffic
As more network traffic becomes encrypted, maintaining visibility into what is happening across your network is becoming increasingly difficult. While encryption protects data and strengthens privacy, it can also limit the ability to identify, analyze, and secure network traffic effectively. For network operators and security teams, this creates growing encrypted traffic visibility challenges and makes it harder to understand traffic patterns and manage network assets.
What you’ll learn in this whitepaper
Gain insights into the encryption protocols that impact traffic visibility and network functionality. Learn how deep packet inspection (DPI) can be applied in encrypted environments and how DPI and encryption interact to identify and analyze IP traffic flows.
Discover how next-generation DPI from ipoque, powered by machine learning (ML) and deep learning (DL), is advancing encrypted traffic intelligence (ETI) to improve visibility into encrypted and obfuscated traffic. See how ETI-driven DPI addresses the limitations of conventional DPI and enables real-time, accurate encrypted traffic classification even when payloads are encrypted or obfuscated.
Download the whitepaper to:
- understand the challenges of encrypted traffic visibility,
- explore approaches to encrypted traffic analysis, and
- learn how encrypted traffic intelligence (ETI) can help maintain visibility across evolving network environments.
