Aviz Networks and Nozomi Networks detail deep network observability for OT security

Aviz Networks and Nozomi Networks describe a joint approach for OT and IoT security that emphasizes network traffic quality. The model uses deep network observability to capture, filter, optimize, and enrich traffic before Nozomi analytics, addressing fragmentation, redundancy, and blind spots that can degrade detection.

Research Overview

The post frames industrial and critical infrastructure environments as becoming more interconnected as IT, OT, and IoT systems integrate. It ties this shift to expanded cybersecurity risk and operational exposure as network monitoring becomes more complex.

It also states that Nozomi Networks depends on the quality and completeness of the network traffic it analyzes to deliver OT visibility and detection. The post positions Aviz Networks as a traffic intelligence layer to improve what reaches that analysis pipeline.

Key Findings

The blog outlines several recurring issues in industrial networks, including fragmented traffic across plants and substations, redundant telemetry overwhelming monitoring systems, and blind spots in East–West and process-level communications. It also links undetected anomalies to operational risk.

It further argues that organizations need a way to capture, filter, and optimize traffic so that OT security platforms can produce accurate insights in real time. In that context, the post presents deep network observability as the enabling component.

Technical Breakdown

The described architecture introduces Aviz Deep Network Observability (DNO) between traffic sources and Nozomi sensors. The stated goal is to ensure only relevant, high-quality, and enriched traffic is delivered for analysis.

The pipeline includes traffic acquisition from TAPs and SPANs across industrial and enterprise environments, followed by aggregation and filtering via the Aviz Packet Broker. The next stage deduplicates and enriches packets using application and protocol context via the Aviz Service Node, and then delivers optimized traffic to Nozomi sensors for threat detection and operational insight.

Operational Impact

The blog connects the approach to scalable visibility across IT, OT, and IoT environments by improving how telemetry is delivered to analytics. It states that optimized delivery supports asset discovery and real-time monitoring.

It lists operational outcomes tied to higher detection accuracy with reduced noise, faster identification of cyber threats and anomalies, enhanced operational resilience and uptime, and lower infrastructure and monitoring costs. It also reiterates that visibility alone is not enough without intelligent, optimized, context-rich network telemetry.

This blog describes a joint Aviz Networks and Nozomi Networks workflow that prioritizes traffic intelligence—capturing, filtering, optimizing, and enriching telemetry—before OT threat analytics. For enterprise decision-makers, the stated focus is improving OT and IoT asset visibility and detection accuracy while reducing noise and monitoring overhead. Blog Signals brief is a fact-based summary of the vendor blog.