Cloud visibility and analytics company Gigamon Inc. today announced the first phase of its multiyear artificial intelligence strategy, introducing foundational innovations designed to help organizations better secure and manage hybrid cloud infrastructure.

The initial offerings include Gigamon AI Traffic Intelligence, a service that offers real-time visibility into generative AI and large language model traffic across 17 leading engines to enable data-driven enforcement and policy governance and GigaVUE Fabric Manager Copilot, a generative AI-powered assistant that simplifies onboarding, configuration, management and troubleshooting of Gigamon deployments.

With the releases, Gigamon is expanding its value to customers by eliminating blind spots, strengthening governance and enhancing operational efficiency across modern hybrid environments by embedding AI into the company’s Deep Observability Pipeline.

The releases seek to assist organizations that are seeing surging data volumes, expanding attack surfaces and growing security risks and generative AI workloads multiply. According to a Gigamon survey of more than 1,000 global security and informational technology leaders, one in three reported that network traffic has more than doubled due to AI workloads, while 55% said their tools are failing to detect modern threats. In response, 88% of survey respondents also said that they now consider deep observability, which combines network-derived telemetry with log data, essential for securing and scaling AI deployments across hybrid cloud infrastructure.

The Gigamon Deep Observability Pipeline delivers actionable network-derived telemetry, including packets, flows and application metadata, directly to cloud, security and observability tools. The new AI Traffic Intelligence adds to the offering by giving organizations real-time visibility into generative AI and LLM activity from 17 leading engines, including ChatGPT, Gemini and DeepSeek. The capability also allows for user-defined targeting of additional LLMs beyond the pre-defined set.

AI Traffic Intelligence is agentless and can also deal with encrypted data in motion, surfacing shadow AI usage for more effective, policy-driven governance.

“As AI increases the complexity and volume of network traffic, clear visibility into generative AI activity has become critical,” explained Bob Laliberte, principal analyst at SiliconANGLE Media’s theCUBE Research. “Gigamon is well-positioned to meet these emerging challenges by delivering the requisite insights to monitor AI usage, regain control and take decisive action.”

The second release, GigaVUE-FM Copilot, is a generative AI-powered assistant that is designed to help organizations onboard, configure, manage and troubleshoot their Gigamon environments with greater speed and accuracy. Copilot is embedded directly within GigaVUE-FM to allow security and IT teams to reduce time to insight, simplify complex workflows and improve productivity.

GigaVUE-FM Copilot connects users directly, through a natural language interface, to the internal knowledge base and LLM contained within technical documentation, deployment guides and release notes, delivering fast, context-aware answers. In doing so, the capability empowers security, IT and DevOps teams to resolve issues independently and reduce reliance on Tier 3 support resources.

The AI Traffic Intelligence capability is available now for all GigaVUE Cloud Suite customers, while GigaVUE-FM Copilot is currently in early access with general availability expected in the second half of this year.

Image: Gigamon