This article was written and contributed by our partner, Gigamon.
Today marks a pivotal moment for Gigamon and the customers we serve. We are proud to introduce the first phase of our multi-year AI vision and strategy; a roadmap focused on embedding GenAI into the Gigamon Deep Observability Pipeline. This journey begins with two new capabilities: AI Traffic Intelligence and GigaVUE-FM Copilot.
These innovations are more than product features. They are foundational steps in helping organizations confidently secure and manage increasingly complex hybrid cloud infrastructure. Our goal is clear: to give NetOps and InfoSec teams the clarity, context, and control they need to stay ahead of risk and deliver operational excellence in the age of GenAI.
Why AI, and Why Now?
The acceleration of GenAI workloads is transforming how businesses operate, but it is also pushing existing security and monitoring tools beyond their limits. Network traffic is surging. Threat surfaces are expanding. And visibility gaps are widening.
We have seen this firsthand. In our 2025 Hybrid Cloud Security Survey, one in three Security and IT leaders reported that network traffic has more than doubled in the past two years due to AI workloads. At the same time, 55 percent said current tools are struggling to detect evolving threats. Nearly 90 percent now believe that deep observability, the fusion of log data with network-derived telemetry, is essential for securing and scaling AI deployments.
Our response is to elevate deep observability by integrating it with GenAI, starting with capabilities that address the most urgent needs our customers have identified.
Introducing AI Traffic Intelligence
One of the most pressing challenges we hear is the lack of visibility into how GenAI applications are used, especially when employees access them outside of defined policies. This shadow AI introduces security blind spots and complicates governance and cost control.
AI Traffic Intelligence provides real-time visibility into GenAI and LLM traffic from 17 leading engines, including ChatGPT and Gemini. It operates without endpoint agents and applies to encrypted data in motion. This capability is embedded within the deep observability pipeline to minimize overhead, and it is extensible by design — customers can define and target additional LLMs based on their specific priorities. The world of GenAI is evolving quickly and so are we; you can expect support for more and new GenAI engines from us with each new release.
The result is a clearer, more complete view of AI activity across hybrid cloud environments, along with the ability to act on that insight quickly and confidently.
GigaVUE-FM Copilot: Simplifying the Complex
The second new capability, GigaVUE-FM Copilot, brings GenAI-powered assistance directly into the Gigamon user experience. Through a natural language interface (Natural Language Processing or NLP) that connects users to technical documentation, release notes, and deployment guides, GigaVUE-FM Copilot streamlines everything from configuration to troubleshooting.
Whether you are onboarding a new deployment or optimizing visibility workflows, GigaVUE-FM Copilot reduces friction, improves accuracy, and saves time. It provides intelligent support that enables teams to work more efficiently and effectively without losing control or confidence.
A Multi-Phase Strategy, Centered on You
These initial capabilities are just the beginning. Our AI vision is intentionally phased to allow for continuous customer feedback, ongoing iteration, and scalable impact.
We are already developing future capabilities that move beyond visibility to deliver predictive insights, intelligent traffic optimization, and automated response. At each step, our focus remains on building secure, practical, and integrated solutions that reflect how real teams operate.
Thank you for being part of this journey. We are just getting started.
