Gigamon, a global leader in deep observability, has announced the launch of the first phase of its multi-year AI strategy, introducing powerful new capabilities to help organizations secure and manage hybrid cloud infrastructure amid the growing complexity of AI adoption.
At the heart of this launch are two innovations:
- Gigamon AI Traffic Intelligence, which provides real-time visibility into GenAI and LLM traffic across 17 leading engines, and
- GigaVUE Fabric Manager (FM) Copilot, a GenAI-powered assistant that simplifies deployment, configuration, and troubleshooting of Gigamon environments.
These solutions are designed to eliminate blind spots, detect shadow AI usage, and enhance governance and operational efficiency across hybrid environments—critical as AI workloads surge and attack surfaces expand.
“With this rapid adoption comes the fundamental need for deep observability to safeguard hybrid cloud infrastructure.”
Damian Wilk, General Manager for EMEA Emerging Markets at Gigamon.
“Organizations across the Middle East and Africa are rapidly embracing artificial intelligence to drive business value,” said Damian Wilk, General Manager for EMEA Emerging Markets at Gigamon. “With this rapid adoption comes the fundamental need for deep observability to safeguard hybrid cloud infrastructure.”
A recent UAE survey revealed that one in three companies lack confidence in detecting unauthorized AI use, while 40% of Saudi firms report limited visibility into AI activity. Gigamon’s Deep Observability Pipeline addresses these gaps by monitoring encrypted and lateral traffic, enabling proactive threat detection and policy enforcement.
“It has never been more true that you cannot secure what you cannot see,” said Michael Dickman, Chief Product Officer at Gigamon. “Visibility into AI traffic and workloads, including shadow AI usage, is critical for today’s Security and IT teams.”
The AI Traffic Intelligence feature offers agentless, real-time insights across public, private, virtual, and container environments. It empowers teams to identify unsanctioned AI usage, track patterns, and manage AI-related costs with precision.
Meanwhile, GigaVUE-FM Copilot uses natural language processing to assist users in navigating technical documentation and resolving issues independently—reducing reliance on Tier 3 support and boosting productivity.
As AI reshapes enterprise infrastructure, Gigamon’s AI-driven deep observability tools are poised to become essential for organizations seeking to secure, scale, and govern their digital transformation journeys.
