Regain Control in the AI Era
Generative AI is reshaping the hybrid cloud—driving explosive data growth, increasing complexity, and introducing new risks. One in three organizations report traffic has more than doubled, and most security leaders admit they’re making trade-offs just to keep pace. Traditional tools weren’t designed to detect GenAI-driven threats or deliver the visibility needed to respond.
Gigamon AI changes that, delivering foundational innovations to address today’s hybrid cloud security challenges. AI Traffic Intelligence provides real-time insight into generative AI usage to inform governance policy—without deploying endpoint agents—while GigaVUE-FM Copilot offers AI-guided assistance to reduce errors, accelerate deployment, and streamline operations. Together, this combination empowers teams to move faster, reduce risk, and regain control.
GenAI is taxing tools, widening attack surfaces, and increasing risk.
- 1 in 3 say network traffic has more than doubled
- 91% are making trade-offs to keep up with AI
- 46% struggle with high-quality data for AI
- 89% say deep observability is essential to hybrid cloud security and AI
See how deep observability helps detect shadow AI, optimize usage, and regain governance.
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Identify and Classify GenAI Usage
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Meet GigaVUE-FM Copilot
GigaVUE-FM Copilot uses GenAI to configure, manage, and troubleshoot Gigamon deployments.
"AI’s popularity can lead to employees using it in creative ways that might violate policy and risk exfiltration of confidential data, threatening enterprise value and reputation. CISOs must define a robust program of education, monitoring and filtering to encourage innovation while mitigating shadow AI risks."
“Gigamon has established itself as a trusted source of granular network data, providing comprehensive visibility across highly complex, distributed environments. 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. 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.”
CISOs Must Bring Shadow AI Into the Light forSecure Innovation, June 2025 - ID G00835313 By: Andrew Walls, Jeremy D'Hoinne, John Watts
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
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USE CASE VIDEO
GigaVUE-FM Copilot
Simplify configuration and management using GenAI-powered assistant.
USE CASE VIDEO
AI Traffic Intelligence
Gain real-time visibility into leading GenAI and LLM engines.
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Advancing Deep Observability
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Frequently Asked Questions
Gigamon AI extends the Gigamon Deep Observability Pipeline with GenAI-powered intelligence to help organizations secure and manage their hybrid cloud environments. By fusing network-derived telemetry with AI-driven automation and guidance, it delivers real-time visibility into GenAI activity, streamlines operations, and strengthens governance without relying on endpoint agents. From detecting shadow AI to simplifying configuration and accelerating troubleshooting, Gigamon AI empowers security and IT teams to act with greater clarity, speed, and control.
AI enhances network security by analyzing vast volumes of traffic data in real time to detect threats faster, uncover hidden risks, and support smarter decision-making. In modern hybrid cloud environments, AI network visibility helps identify malicious patterns, encrypted lateral movement, and unauthorized application usage, including shadow AI. By automating analysis and guiding responses, AI reduces noise, strengthens policy enforcement, and Gigamon AI network security enables security teams to act with speed, accuracy, and precision—especially as threats grow more complex and distributed.
Gigamon AI enhances threat detection by amplifying deep observability—the fusion of network-derived telemetry with metrics, events, logs, and traces (MELT) data—through GenAI-powered intelligence. This advanced network visibility helps uncover threats others miss, such as encrypted lateral movement, unauthorized generative AI activity, and shadow AI usage. By delivering real-time insights across the hybrid cloud, Gigamon AI enables security teams to detect and respond to threats faster, with greater clarity, precision, and control.
Generative AI enhances cybersecurity by automating analysis, accelerating threat detection, and guiding faster, smarter responses. AI cybersecurity supports real-time traffic classification, policy validation, and contextual assistance for tasks like configuration and troubleshooting. Combined with deep observability, generative AI helps security teams reduce risk and act with greater speed, precision, and confidence across hybrid cloud environments.
GigaVUE-FM Copilot is a GenAI-powered assistant built into the Gigamon GigaVUE-FM fabric manager that simplifies configuration, validation, and day-to-day operations. It delivers real-time, context-aware guidance to accelerate setup, reduce errors, and streamline troubleshooting, enabling users at all skill levels to work more efficiently. By minimizing manual effort and reliance on Tier 3 support, GigaVUE-FM Copilot speeds time-to-insight and improves operational effectiveness across hybrid cloud environments.