Gigamon has launched the first phase of its multi-year artificial intelligence (AI) strategy, introducing new tools designed to enhance cybersecurity, improve operational efficiency, and provide greater visibility into generative AI (GenAI) activity across hybrid cloud environments.
Release includes two new offerings:
AI Traffic Intelligence, which delivers real-time insight into GenAI and large language model (LLM) traffic across 17 leading AI engines, and GigaVUE-FM Copilot, a generative AI-powered assistant embedded within Gigamon’s Fabric Manager to help teams onboard, configure, manage, and troubleshoot their Gigamon deployments.
According to the company, these capabilities aim to address one of the most pressing issues facing IT and security teams today: the rapid rise in AI-related workloads and the associated blind spots in network visibility.
As organisations increasingly adopt AI tools, many are struggling to track and govern their use—especially when tools are deployed without approval, a phenomenon often referred to as “shadow AI.”
“Complete visibility into AI traffic and workloads is now critical,” said Michael Dickman, Chief Product Officer at Gigamon. “You can’t secure what you can’t see,”
“By embedding AI directly into the Deep Observability Pipeline, we’re giving customers practical tools to keep pace with AI’s growing complexity.” Dickman said.
Tackling the Visibility Gap in GenAI Workloads
The new AI Traffic Intelligence capability integrates directly into the Gigamon Deep Observability Pipeline to provide real-time insights into AI traffic.
It supports encrypted traffic, is agentless, and extends across public, private, virtual, and containerised environments. Users can also configure the platform to detect AI activity from engines beyond the default set.
Key use cases include identifying unauthorised or shadow AI usage, tracking AI consumption patterns for better governance and cost management, and supporting security teams with trusted network-derived telemetry.
Findings from Gigamon’s 2025 Hybrid Cloud Security Survey indicate the scale of the challenge: 33% of IT leaders reported that AI workloads have doubled their network traffic, while over half say existing tools are falling short in detecting modern threats.
Nearly 9 in 10 respondents now view deep observability—blending telemetry from networks and logs—as essential for managing security in AI-enabled environments.
AI Assistant Streamlines Day-to-Day Operations
Alongside the visibility improvements, Gigamon also announced GigaVUE-FM Copilot, a GenAI assistant embedded in its Fabric Manager.
The tool uses a natural language interface to connect users to Gigamon’s internal knowledge base, enabling faster access to documentation, configuration support, and troubleshooting guidance.
The aim is to reduce reliance on Tier 3 support, speed up onboarding, and improve productivity across IT, security, and DevOps teams.
According to Gigamon, Copilot helps streamline complex workflows and improve time-to-insight—even for users who aren’t Gigamon power users.
Availability and What’s Next
AI Traffic Intelligence is now available for all GigaVUE Cloud Suite customers. GigaVUE-FM Copilot is currently in early access with general availability expected in the second half of 2025.
Further AI-driven innovations will be unveiled at Visualyze Bootcamp, Gigamon’s virtual customer conference, scheduled for September 9–11.
