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Unified Visibility Without Blind Spots for Modern Enterprise Networks

Modern enterprise networks span data center, campus, edge, and hybrid multi-cloud environments, operating at speeds from 1G to 400G.


Aviz Deep Network Observability delivers unified, packet-level visibility across this distributed landscape through a software-first, multi-vendor architecture.


By combining intelligent traffic processing, enriched metadata, and centralized visibility, Aviz provides better contextual insights and AI-ready observability—enabling faster troubleshooting and lower monitoring costs without vendor lock-in.

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Why Unified Visibility Matters

Enterprise networks are already distributed across data centers, cloud, campus, and edge environments. As applications evolve and AI usage increases, traffic patterns are shifting toward internal, east–west communication across these environments.

By 2030, more than 80% of enterprises will deploy AI across core business functions, distributed across hybrid and multi-cloud infrastructure. This growth increases internal traffic complexity and exposes visibility gaps in traditional, perimeter-centric monitoring approaches.

Gartner predicts

East–west traffic across distributed environments
Limited visibility into shadow AI workloads
Overlay, encapsulation, and encryption blind spots
Rising tool costs and operational complexity
Appliance-centric architectures that limit scale

Aviz Deep Network Observability addresses these challenges by delivering unified visibility across data center, edge, and hybrid multi-cloud environments—providing the foundation needed to understand internal traffic behavior, reduce blind spots, and troubleshoot faster.

Why Organizations Choose Aviz Deep Network Observability (DNO)

Multi-Vendor, Software-First Architecture icon

Multi-Vendor, Software-First Architecture

Deploy across multi-vendor ecosystems using a software-first approach that eliminates vendor lock-in and scales independently of proprietary platforms.

End-to-End Traffic Visibility icon

End-to-End Traffic Visibility

Capture traffic across core, aggregation, campus, edge, and multi-cloud sources to deliver comprehensive packet-level visibility.

Optimized Traffic for Tool Efficiency icon

Optimized Traffic for Tool Efficiency

Filter and optimize traffic before it reaches tools using software and optional DPU-based hardware acceleration—reducing data volume while delivering clean, actionable traffic.

Scales Seamlessly from 1G to 400G icon

Scales Seamlessly from 1G to 400G

Support legacy networks and next-generation high-speed fabrics within a single observability framework—without redesigns or forklift upgrades.

Built for Hybrid and Multi-Cloud icon

Built for Hybrid and Multi-Cloud

Deliver consistent visibility and policy across on-premises and hybrid cloud environments using a unified DNO architecture.

AI-Ready Visibility Foundation icon

AI-Ready Visibility Foundation

Provide clean, enriched telemetry that enables AI-driven correlation with MELT data for faster, more accurate insights.

Enterprise Visibility Use Cases
Network Performance Visibility icon

Network Performance Visibility

Monitor packet loss, latency, congestion, and anomalous traffic patterns across physical, virtual, and cloud networks.

Application-Aware Visibility icon

Application-Aware Visibility

Identify application, service, and API-level issues—including shadow AI applications—using packet-derived intelligence and metadata beyond what metrics and logs provide.

East–West Traffic Visibility icon

East–West Traffic Visibility

Expose workload-to-workload communication across data center and cloud environments to eliminate visibility blind spots.

AI-Driven Troubleshooting icon

AI-Driven Troubleshooting

Eliminate hours of manual investigation by correlating enriched metadata and infrastructure telemetry (MELT) using the Aviz Native AI Assistant.

How the Aviz Deep Network Observability Stack Works

Each component in the Aviz platform is designed to work independently or as part of an integrated solution, giving you the flexibility to modernize at your own pace.

Capture & Ingest

Capture & Ingest

Capture traffic from physical networks and hybrid multi-cloud environments using standard mirroring (SPAN) and tapping mechanisms.

Filter & Aggregate

Filter & Aggregate

Aggregate and filter traffic using intelligent packet brokering software that runs on multi-vendor hardware to remove noise and steer traffic to the right tools and service nodes.

Optimize & Enrich

Optimize & Enrich

Eliminate duplicate flows and enrich traffic with application identification and flow intelligence using Aviz Service Nodes running on standard x86 platforms, with optional DPU acceleration.

Normalize & Distribute

Normalize & Distribute

Normalize and distribute enriched telemetry at scale - optionally using the Aviz Elastic Node - while enabling parallel delivery to existing observability and security platforms.

Visualize & Operate

Visualize & Operate

Provide centralized visibility, policy control, and operational management across the entire Deep Network Observability stack using Aviz FlowVision.

Correlate & Assist (AI)

Correlate & Assist (AI)

Use Network Copilot™, the Aviz Native Private AI Assistant, to correlate telemetry and accelerate troubleshooting.

Outcomes That Matter for Security Teams

Faster detection of lateral and internal threats

Cleaner, higher-signal inputs for IDS, NDR, and SIEM

Shorter investigation and response times

Lower security tool ingestion, processing, and licensing costs

Unified security and visibility from on-premises to hybrid multi-cloud

Integrates with Leading Observability and Security Tools

Aviz Deep Network Observability integrates seamlessly with existing observability, security, analytics, and compliance platforms. By delivering clean, optimized traffic and enriched metadata, Aviz complements your current ecosystem—without forcing replacement or lock-in.

Ready to Modernize?

Our experts discuss your requirements and demonstrate how Aviz delivers measurable ROI while future-proofing visibility architecture.