VIAVI Solutions Adds AI Framework to NITRO Portfolio

The new integration allows engineers to run complex network and security tests using natural language prompts.

Updated on Oct. 30, 2026 in Artificial Intelligence

VIAVI Solutions Adds AI Framework to NITRO Portfolio

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VIAVI Solutions has integrated a Model Context Protocol Server Framework into its NITRO AI portfolio to automate network testing. The tool enables engineers to configure and execute tests through conversational commands rather than manual scripting.

Why it matters

The framework aims to address the growing difficulty of scaling manual test configurations as network and security architectures become more complex. It also helps bridge the gap caused by a global shortage of specialists capable of validating modern network infrastructure.

The framework integrates directly with VIAVI TestCenter, CyberFlood, and TeraVM platforms. It features an autonomous error correction loop for misconfigurations and includes mandatory human review checkpoints for test operations.

The players

VIAVI Solutions

A global provider of network test, monitoring, and assurance solutions for communications service providers and enterprises.

The details

By exposing testing functions as standardized tools, the system allows AI agents to discover and execute actions based on natural language inputs. This approach replaces traditional manual GUI interactions and coding scripts to streamline the validation process for network engineers.

October 30, 2026: VIAVI announced the integration of the new server framework.

The Tech Race

The adoption of the Model Context Protocol in this scenario marks a strategic shift toward standardized AI-agent communication in network testing tools. This move positions the company to compete in an industry where manual GUI-based testing is being rapidly replaced by automated agent workflows.

Engineers using these platforms will experience improved workflow efficiency by reducing the need for manual scripting and complex GUI navigation. Users can expect a more intuitive testing experience, though they must manage the new human review checkpoints integrated into the automated flow.

The takeaway

Automating infrastructure validation via natural language represents a significant evolution in how engineering teams manage complex network security. Professionals should prioritize learning to interact with AI-driven testing agents to maintain operational efficiency as these tools become standard.