Aviz Deep Network Observability outlines how it improves Salt Typhoon visibility

Security reporting on Salt Typhoon highlights that the campaign’s activities were missed for months due to insufficient visibility into the traffic and context available to security tooling, not a failure to detect. The issue affects how enterprise teams cover authentication, lateral movement, admin sessions, command-and-control, and exfiltration across distributed environments.

Research Overview

The article describes a late-2024 breach involving telecommunications network infrastructure tied to the state-backed threat actor Salt Typhoon. It characterizes the operation as a prolonged intrusion that used edge infrastructure, password harvesting, command-and-control communications, administrative session movement, and cloud-based exfiltration.

It also states the campaign left observable traces across multiple phases, including authentication requests, administrative sessions, file transfers, remote execution, and exfiltration. The piece says the operation did not appear to be financially motivated and frames ransomware as not the attackers’ intent.

Key Findings

The article’s lesson is that the difficulty was linked to visibility rather than discovery. It asserts that security tooling can detect sophisticated activity when it has access to the right traffic sources and contextual information.

It describes gaps as arising in modern deployments where critical network components and distributed environments cannot be covered by endpoint agents. It cites environments such as data centers, hybrid clouds, branch offices, remote edges, IT/OT systems, ICS, medical equipment, IoT, and unmanaged devices.

Technical Breakdown

The vendor describes Aviz Deep Network Observability as creating a “packet-level evidence layer” by collecting, optimizing, and enriching traffic before distributing it to downstream security systems. The article says packets are the reference point for what crossed the wire, with logs and detections depending on access to that traffic.

It outlines a five-stage pipeline: Aggregate, Optimize, Enrich, Accelerate, and Distribute. It says traffic is collected from TAPs, SPANs, cloud traffic mirroring, packet brokers, and distributed deployments, then normalized, filtered, de-duplicated, and enriched using deep packet inspection to extract context-aware information.

Operational Impact

The article says that organizations typically invest in IDS, NDR, SIEM, endpoint protection, and analytics, but detections depend on visibility into network traffic across environments where coverage is incomplete. It links the visibility gap to reduced detection quality when traffic sources are missing or lack sufficient context.

It presents vendor-side positioning that the approach complements existing tools rather than replacing them. The text describes integration patterns where optimized packet traffic and enriched metadata are delivered to NDR, IDS, security platforms, and analytics or observability systems using open formats such as JSON and Kafka.

Leadership Perspective

For enterprise decision-makers, the article frames Salt Typhoon as an example of how tracking failures can stem from where telemetry is collected. It ties the campaign’s observed traces to authentication, admin operations, command-and-control communications, and exfiltration that monitoring teams did not catch for months in heavily protected networks.

It also states the same tactics have been used in other sectors, including banks, hospitals, government departments, manufacturing firms, and critical infrastructure operators. The article concludes that threats leave traces and the operational task is making those traces accessible to the security and observability technologies already in use.

The article’s central takeaway is that Salt Typhoon’s persistence was linked to insufficient visibility into the traffic and context security tooling could access across distributed environments, affecting detections spanning authentication, lateral movement, command-and-control, and exfiltration. For enterprise IT and security leaders, it frames packet-level collection, optimization, and enrichment as a way to improve how existing IDS, NDR, SIEM, and observability tools receive evidence. Blog Signals brief is a fact-based summary of the vendor blog.