AI Networks for Federal & Government Agencies | Aviz Networks
Mission-Critical Federal Networks: Secure & AI-Ready
Modernize federal and government networks with SONiC, private AI, deep observability, and compliance automation, secure, scalable, and future-proof.
Mission-Critical Networks for Federal and Government Agencies
Federal and government agencies operate across diverse environments, from cutting-edge technology deployments to long-standing legacy systems.
They face a constant balancing act:
- Modernizing networks for higher performance, greater visibility, and AI-readiness
- Meeting strict compliance and security mandates
- Extending the life of certified infrastructure while planning for future innovation
Do These Questions Sound Familiar?
- How can I standardize my networking stack so it works with approved hardware and passes compliance certification?
- How do I modernize network observability for packet-, application-, and user-level visibility without being tied to a single hardware vendor?
- How do I integrate AI into my operations in a way that is 100% private, programmable, and compliant, with no external cloud dependencies?
- How do I connect modern AI workflows with legacy systems and protocols like SNMP, MCP, and other existing data feeds?
- How can I future-proof my networks for both distributed offices and high-capacity core infrastructure?
- How can I automate continuous audit requirements using AI to save time and reduce manual effort?
From Legacy Boundaries to AI-Ready Government Networks
Challenge
| Challenge | How Aviz Solves It |
|---|---|
| Diverse Deployment Environments | From small, remote offices to high-capacity data centers, each environment comes with its own size, power, and operational constraints. |
| Flexible Hardware + SONiC Standardization | Works across compact, rugged, and full-size switches from multiple vendors. Standardized operating layer simplifies configuration, automation, and upgrades. |
| Strict Security & Compliance | Mandates and certifications limit technology choices and demand strong governance. |
| On-Premise, Private Stack | Entire software stack resides in agency-controlled infrastructure. No internet dependency. Designed for rapid compliance validation and certification. |
| Long Hardware Refresh Cycles | Agencies often operate on multi-year refresh schedules that cannot keep pace with vendor lifecycles. |
| Software-First Approach | Extend hardware life by decoupling network functions from proprietary appliances. Updates delivered through software without replacing certified hardware. |
| Deep Network Visibility | Need to monitor what is entering, moving through, and leaving the network in real time. |
| Government-Grade Observability | Packet-, application-, and user-level analytics across vendors, protocols, and environments. Ensures policy compliance and rapid troubleshooting. |
| Secure AI Integration | AI adoption is accelerating, but must be fully contained, compliant, and adaptable. |
| Network Copilot™ is a Private AI | Runs entirely on-prem, connects to approved data sources, supports existing protocols, and allows mission-specific AI agents to be deployed securely. |
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Resources Hub
SONiC
Open-source network operating system for cloud, enterprise, and edge, enabling disaggregation and rapid innovation.
FTAS
Flexible Test Automation Suite (FTAS) for automated network validation, regression, and performance testing across multi-vendor environments.
ONES
Open Network Enterprise Suite (ONES) for unified network management, monitoring, and automation across diverse hardware and software platforms.
Aviz Packet Broker (APB)
A high-performance, white box traffic management fabric capable of traffic filtering, replication, aggregation, slicing, labeling, and tunneling.
Aviz Service Node (ASN)
A X86-based software appliance performing Deep Packet Inspection (DPI) for application identification, metadata extraction, and deduplication.
Network Copilot™
AI-powered network analytics and observability platform for proactive monitoring, troubleshooting, and optimization.