Aviz details how Aviz Service Node inspects payloads for AI traffic visibility

Aviz says its Aviz Service Node (ASN) adds a next-generation deep packet inspection engine that inspects payloads and contextual metadata to identify encrypted and API-driven AI traffic, including shadow AI, and streams telemetry for unified visibility across hybrid networks.

Research Overview

The article frames AI adoption in enterprises as a driver of new traffic visibility challenges for IT and security teams. It cites Gartner predictions about growing embedded conversational AI use and unauthorized AI tool usage, alongside survey results on high-risk AI tools and daily AI-driven attacks.

It argues that as AI applications spread across data centers, edge nodes, and hybrid clouds, governance becomes harder because traffic may be encrypted or delivered via APIs that legacy inspection tools do not handle well.

Key Findings

The blog defines shadow AI as the use of AI applications and APIs outside IT control or visibility, including both employee-used tools and systems such as ChatGPT, Copilot, Claude, and open-source AI options. It states that shadow AI can create data privacy, prompt injection exposure, compliance and IP exposure, and monitoring gaps across distributed environments.

It states that legacy DPI depends on port, protocol, or static header-based techniques and is unable to interpret encrypted or dynamic API-driven AI traffic. The blog links these limitations to the need for payload-aware, real-time inspection for both sanctioned and unsanctioned AI activity.

Technical Breakdown

The article describes the Aviz Service Node (ASN) as a software appliance providing deep, real-time visibility into AI application traffic across data centers, edge environments, and hybrid clouds. It says ASN includes a next-generation Deep Packet Inspection (DPI) engine designed for encrypted traffic environments.

It states that the DPI engine analyzes packet payloads and contextual metadata to identify applications and services, including traffic routed through dynamic APIs. The blog also says ASN streams its insights to the Aviz Elastic Node, which provides analytics and visualization, including an end-to-end view of AI traffic patterns and app- and user-level activity dashboards.

Operational Impact

The blog positions ASN as a mechanism for unifying visibility across sanctioned and shadow AI traffic. It describes the combined approach as enabling organizations to move beyond traditional monitoring in hybrid infrastructures by pairing packet-level intelligence with elastic-scale analytics.

It concludes that the system supports stronger compliance through identification and control of AI traffic categories, including encrypted or API-driven flows. The overall message is that enterprises can apply AI-ready observability across networks where traditional monitoring tools do not provide coverage.

Aviz presents ASN as a payload-aware, next-generation DPI engine that inspects encrypted and API-driven AI traffic and streams telemetry for unified visibility into sanctioned and shadow AI across data centers, edge, and hybrid clouds. Blog Signals brief is a fact-based summary of the vendor blog.