Gigamon advances deep observability

Gigamon has introduced the first phase of its multi-year AI strategy, introducing foundational innovations designed to help organizations better secure and manage hybrid cloud infrastructure. The initial offerings include Gigamon AI Traffic Intelligence, which delivers real-time visibility into GenAI and LLM traffic across 17 leading engines to enable data-driven enforcement and policy governance, and GigaVUE Fabric Manager (FM) Copilot, a GenAI-powered assistant that simplifies onboarding, configuration, management, and troubleshooting of Gigamon deployments. By embedding AI into the Deep Observability Pipeline, Gigamon expands its value to customers by eliminating blind spots, strengthening governance, and enhancing operational efficiency across modern hybrid environments.

As GenAI workloads multiply, organizations face surging data volumes, expanding attack surfaces, and growing security risks. One of the most fundamental challenges is simply knowing which AI services are in use. In the 2025 Hybrid Cloud Security Survey of over 1,000 global Security and IT leaders, one in three reported that network traffic has more than doubled due to AI workloads, while 55 percent said their tools are failing to detect modern threats. In response, 88 percent now consider deep observability—combining network-derived telemetry with log data—essential for securing and scaling AI deployments across hybrid cloud infrastructure.  

“As GenAI use matures in organizations, we’re focused on both AI for security and security for AI,” said Michael Dickman, chief product officer at Gigamon. “It has never been more true that you cannot secure what you cannot see, making complete visibility into AI traffic and workloads, including shadow AI usage, critical for today’s Security and IT teams. That is why we're embedding AI directly into the Deep Observability Pipeline to help customers strengthen cybersecurity with practical, easy-to-implement capabilities that keep pace with the speed and complexity of AI adoption.”

Complete Visibility into AI and GenAI Network Traffic: A New Standard for Cybersecurity

The Gigamon Deep Observability Pipeline efficiently delivers actionable network-derived telemetry, including packets, flows, and application metadata directly to cloud, security, and observability tools, bringing the complete picture into focus. With the new AI Traffic Intelligence capability, organizations gain real-time visibility into GenAI and LLM activity from 17 leading engines, including ChatGPT, Gemini, and DeepSeek. The capability also allows user-defined targeting of additional LLMs beyond the pre-defined set, extending flexibility and reach. For ease of integration, this intelligence is agentless and applies even to encrypted data in motion, surfacing shadow AI usage and enabling more effective, policy-driven governance.

AI Traffic Intelligence enables organizations to:

Gain real-time insights into GenAI and LLM traffic across public, private, virtual, and container environments

Identify shadow AI, or unsanctioned AI usage, to reduce risk and improve oversight

Track usage patterns to inform governance and manage AI-related costs

Empower Security and IT teams with trusted, network-derived telemetry to drive informed decisions

“Gigamon has established itself as a trusted source of granular network data, providing comprehensive visibility across highly complex, distributed environments,” said Bob Laliberte, principal analyst at theCUBE Research. “As AI increases the complexity and volume of network traffic, clear visibility into GenAI activity has become critical. Gigamon is well-positioned to meet these emerging challenges by delivering the requisite insights to monitor AI usage, regain control, and take decisive action.”

“AI is accelerating digital transformation, but it’s also introducing security risks and data challenges across hybrid cloud infrastructure," said Chris Konrad, vice president, Global Cyber at World Wide Technology (WWT). “By integrating AI into its Deep Observability Pipeline, Gigamon delivers the complete visibility and insights our customers need to detect threats, govern GenAI use, and strengthen cybersecurity best practices. At WWT, we’re proud to partner with Gigamon to shape the future of hybrid cloud security by delivering the deep observability customers require.”

GigaVUE-FM Copilot Simplifies Deployment and Day-to-Day Operations

Gigamon also introduced GigaVUE-FM Copilot, a GenAI-powered assistant designed to help organizations onboard, configure, manage, and troubleshoot their Gigamon environments with greater speed and accuracy. Embedded directly within GigaVUE-FM, GigaVUE-FM Copilot enables Security and IT teams to reduce time to insight, simplify complex workflows, and improve productivity.

Through a natural language interface, GigaVUE-FM Copilot securely connects users directly to the internal knowledge base and LLM contained within technical documentation, deployment guides, and release notes, delivering fast, context-aware answers. This capability empowers Security, IT, and DevOps teams to resolve issues independently, whether or not they are power users, and reduce reliance on Tier 3 support resources.

With GigaVUE-FM Copilot, organizations can:

Simplify configuration and management using GenAI-assisted support

Accelerate onboarding and feature discovery to improve readiness

Instantly search documentation to troubleshoot and apply best practices

Reduce Tier 3 support escalations by enabling broader self-service

Improve operational efficiency across teams and environments