Elevate your network’s IQ: ipoque’s AI-driven DPI technology unveiled

ipoque’s ETI technology, integrated into R&S®PACE 2 and R&S®vPACE, leverages machine learning (ML) and deep learning (DL) to classify encrypted, obfuscated, or anonymized traffic with unprecedented accuracy. This enables real-time application awareness, dynamic network shaping, optimized resource allocation, and enhanced security threat response. By providing actionable insights into encrypted traffic, ETI empowers telecom operators to make informed decisions, improving overall network efficiency and subscriber experience.

Artificial Intelligence (AI) is revolutionizing the way networks are run and managed. By leveraging advanced statistical models and machine learning algorithms, AI engines can analyze terabytes of network data, providing predictive capabilities for automated decision-making. In network traffic management, AI-powered predictive capabilities equip devices with forecasts of future events, enabling real-time optimization and improved security.

A key application of AI in networking is deep packet inspection (DPI), where it enhances traffic detection and filtering capabilities. ipoque’s OEM DPI engine R&S®PACE 2 and its VPP-native counterpart, R&S®vPACE, feature encrypted traffic intelligence (ETI), leveraging machine learning algorithms, deep learning algorithms, and high-dimensional data analysis, alongside advanced caching.

In combination with advanced behavioral, statistical, and heuristic analysis, ETI identifies protocols, applications, and service types without decrypting and re-encrypting traffic in-transit. This addresses decryption concerns such as data privacy, exposure of critical business information, and added latencies. Encrypted traffic intelligence enables users to classify encrypted video traffic by underlying protocol, application, and service type, using thousands of application signatures indexed in weekly updated libraries.

Interestingly, AI-powered DPI can further enhance a network’s AI-driven predictive capabilities. DPI analytics form fine-grained, real-time feeds that enable AI engines to keep abreast of network events, improving AI ‘learning’ and addressing the relevancy of past data inputs. This allows AI engines to match traffic irregularities to specific threats and correlate certain applications to network outcomes.

Visit ipoque at MWC Barcelona 2025 (hall 5, booth 5A80) to witness the revolutionary ETI technology and AI-powered DPI solutions in action. Meet with ipoque’s experts to discuss the latest advancements in DPI technology and how they can benefit your organization.

Note to editors:

ipoque’s Encrypted Traffic Intelligence (ETI) solution utilizes a proprietary combination of machine learning (ML) algorithms, specifically designed to analyze encrypted traffic patterns and identify potential security threats, alongside deep packet inspection (DPI) technology, which enables real-time analysis of network traffic, even when encrypted, to provide detailed insights into application usage and performance. Advanced caching methods are also employed to optimize processing efficiency, reducing latency and improving overall network performance.

The ETI solution is built around ipoque’s OEM DPI engine, R&S®PACE 2, which provides high-performance traffic analysis and classification. Additionally, R&S®vPACE, the VPP-native counterpart to R&S®PACE 2, is optimized for cloud and virtualized environments, ensuring seamless integration across various network architectures.

ipoque’s ETI solution supports a wide range of industry standards, including TLS 1.3, QUIC, ESNI, and DoX for encrypted traffic analysis. Furthermore, the solution is designed to integrate with leading network management and security systems, facilitating effortless deployment within existing infrastructure.