Regain Control in the AI Era
Generative AI is reshaping the hybrid cloud, driving explosive growth and new risks. One in three organizations report traffic has more than doubled, and many security leaders are forced to make 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 with three complementary capabilities:
- AI Traffic Intelligence reveals GenI and LLM usage to inform governance policy, without endpoint agents.
- GigaVUE-FM Copilot provides AI-guided assistance to reduce errors, accelerate deployment, and streamline operations.
- Gigamon Insights turns telemetry into context-rich answers to accelerate action, reduce risk, and restore control.
AI expands attack surfaces and strains existing tools.
- 1 in 3 say network traffic has more than doubled
- 91% are recalibrating risk due to AI
- 55% say tools are ineffective at detecting modern threats, including AI
- 47% lack lateral East-West visibility across hybrid cloud environments
AI-powered deep observability helps detect shadow AI, accelerate investigations, and strengthen governance.
Gigamon AI Video Series
Learn about our latest use cases.
Identify and Classify GenAI Usage
Gain real-time insights into GenAI traffic across public, private, virtual, and container environments.
Meet GigaVUE-FM Copilot
GigaVUE-FM Copilot uses GenAI to configure, manage, and troubleshoot Gigamon deployments.
AI Insights for SIEM and Observability
Detect, diagnose, and defend faster with Gigamon Insights powered by AI and network-derived telemetry.
“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 continues to be a cornerstone of our strategy to accelerate detection, investigation, and response workflows. With the integration of Gigamon Insights, our joint customers can fuse network telemetry with the power of AI directly within their existing Splunk workflow, speeding time to insights and helping every user become a security and observability expert.”
"As organizations accelerate their cloud adoption journey, comprehensive visibility across hybrid environments is no longer optional—it's essential for maintaining robust security posture. Our collaboration with Gigamon brings together AWS's cloud security capabilities with Gigamon network-derived telemetry, helping our joint customers detect threats faster and respond more effectively through AI. This integration shows our commitment to providing customers with powerful tools that enhance their security operations while maintaining the agility and innovation that cloud enables."
“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.”
Resources
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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Gigamon Insights
Accelerate time to insight with agentic AI and network-derived telemetry.
Frequently Asked Questions
Gigamon AI extends the Gigamon Deep Observability Pipeline with GenAI-powered intelligence to help organizations secure and manage hybrid cloud infrastructure. By fusing network-derived telemetry with intelligent guidance, it delivers real-time visibility into GenAI activity, streamlines operations, and strengthens governance without relying on endpoint agents. From detecting shadow AI to accelerating troubleshooting, teams gain speed, precision, and control.
AI analyzes traffic at scale to detect threats faster, uncover hidden risks, and guide response. Across the hybrid cloud, AI network visibility helps reveal encrypted lateral movement and unauthorized AI application usage, including shadow AI. By reducing noise and strengthening policy enforcement, teams act with greater accuracy and speed.
Gigamon AI amplifies deep observability by combining network-derived telemetry with AI-powered analysis. This reveals threats others miss such as lateral movement, command-and-control, and unauthorized GenAI usage, delivering real-time insights that speed detection and response.
Generative AI enhances cybersecurity by automating analysis, accelerating threat detection, and guiding faster, more precise response. Across the hybrid cloud, it supports real-time traffic classification, policy validation, and contextual assistance for configuration and troubleshooting. Combined with deep observability, Gen AI helps security and IT teams detect hidden threats, close compliance gaps, and resolve performance issues with greater speed and confidence.
GigaVUE-FM Copilot is a GenAI-powered assistant built into Fabric Manager. It simplifies configuration, validation, and day-to-day operations with real-time guidance that reduces errors and escalations, improving time-to-value across hybrid cloud.
Gigamon Insights is an agentic AI application embedded in SIEM and observability platforms like Elastic and Splunk, and cloud services from AWS. It turns trusted network telemetry—packets, flows, and application metadata—into powerful, context-rich answers inside existing workflows. Teams ask questions, run pre-built prompts, and receive recommended actions that reduce mean time to resolution while preserving data control.
Gigamon Insights uses a flexible AI architecture that supports private or bring-your-own enterprise LLMs. Customers maintain control of sensitive data while benefiting from AI-powered detection, investigation, and troubleshooting.
Gigamon AI Traffic Intelligence, part of Gigamon Application Metadata Intelligence (AMI) identifies and classifies more than 30 leading GenAI and LLM engines with additional applications and engines added over time.