Gigamon announced the first phase of its multi-year AI strategy, introducing foundational innovations designed to help organisations 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.
The move aligns strategically with ongoing initiatives across the Middle East and Africa, where rapid digital transformation and widespread adoption of AI have intensified the requirement for visibility into all data in motion across hybrid cloud environments.
Complete Visibility into AI and GenAI Network Traffic: A New Standard for UAE Cybersecurity
In the UAE, a recent survey revealed that one in three companies lacks confidence in their ability to detect unauthorised AI use, highlighting an urgent need for effective AI governance solutions. Saudi Arabia shares the same issue, with nearly 40 per cent of companies unsure of their visibility into AI use. The Gigamon Deep Observability Pipeline addresses these requirements by providing visibility into AI traffic across hybrid cloud infrastructure, including lateral and encrypted traffic, enabling organisations to detect threats and mitigate business risk proactively.
“Organisations across the Middle East and Africa are rapidly embracing artificial intelligence to drive business value as part of their digital transformation journeys. However, with this rapid adoption comes the fundamental need for deep observability to safeguard hybrid cloud infrastructure,” said Damian Wilk, general manager for EMEA Emerging Markets at Gigamon. “Our latest AI-driven capabilities enable organisations to gain real-time visibility and control over shadow AI risks, aligning with national cybersecurity strategies across these regions.”
As GenAI workloads multiply, organisations 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 per cent said their tools are failing to detect modern threats. In response, 88 per cent now consider deep observability—combining network-derived telemetry with log data—essential for securing and scaling AI deployments across hybrid cloud infrastructure.
AI Traffic Intelligence: Real-time insights across public, private, virtual, and container environments
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, organisations 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 organisations 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
GigaVUE-FM Copilot Simplifies Deployment and Day-to-Day Operations
Gigamon also introduced GigaVUE-FM Copilot, a GenAI-powered assistant designed to help organisations 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, regardless of their level of expertise, and reduces reliance on Tier 3 support resources.
With GigaVUE-FM Copilot, organisations 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
Availability and Roadmap
The AI Traffic Intelligence capability is now available to all GigaVUE Cloud Suite customers. GigaVUE-FM Copilot is in early access for select customers, with general availability in 2H25.
