Aviz Networks and Armis outline optimized telemetry for Armis Centrix

Aviz Networks and Armis describe a joint approach that improves passive asset discovery by inserting Deep Network Observability between traffic sources and the Armis Centrix platform, where telemetry is captured, optimized, filtered, deduplicated, and normalized.

Research Overview

Cyber exposure management platforms use passive network traffic inspection to discover and monitor assets across IT, OT, IoT, and medical environments. The post frames asset intelligence and exposure insights as dependent on the quality of the network telemetry used for discovery and analysis.

It says Armis identifies assets by analyzing traffic from SPAN ports, TAPs, packet brokers, or PCAP feeds, including environments that span data centers, campuses, OT sites, and cloud infrastructure. The post describes operational challenges in delivering the right network traffic to analytics engines in hybrid environments.

Key Findings

The post states that incomplete, noisy, or fragmented telemetry can lead to missed devices, incorrect classification, and unreliable risk insights. It also says that sending raw packet streams directly to analytics tools often results in excessive noise, duplicate packets, and fragmented visibility.

It reports that strengthening the telemetry pipeline that feeds Armis is intended to improve both asset intelligence and operational security outcomes across distributed enterprise networks. The described benefits include improved asset discovery accuracy, reduced operational overhead, continuous exposure visibility, and stronger compliance readiness.

Technical Breakdown

The architecture presented positions Aviz Deep Network Observability (DNO) as an intelligent layer between traffic sources and Armis. Instead of transmitting raw streams to Armis collectors, the traffic is captured, optimized, and enriched prior to analysis.

The post says Aviz DNO aggregates traffic from distributed environments and delivers clean, high-fidelity telemetry, including traffic filtering, deduplication, and normalization of overlay or tunneled traffic. It further describes telemetry enrichment with context as part of enabling more accurate asset identification by Armis.

Operational Impact

The post links improved telemetry quality to more accurate device discovery and risk analysis within Armis Centrix. It characterizes the outcome as continuous identification of connected assets, assessment of vulnerabilities, and delivery of exposure insights used to prioritize risk and enforce security policies.

For CISOs and security leaders, it describes the challenge of incomplete asset visibility across OT environments and unmanaged devices. It attributes improvements in asset intelligence and security operations to filtered and deduplicated telemetry that supports continuous exposure visibility.

The post concludes that accurate and continuous asset intelligence depends on high-fidelity network telemetry. It says the Aviz Networks and Armis joint solution provides an observability layer that prepares telemetry for more reliable passive asset discovery and exposure analysis, and this “Blog Signals brief” is a fact-based summary of the vendor blog.