Gigamon Launches AI Strategy to Strengthen Cybersecurity in the Hybrid Cloud Era
Gigamon, a global leader in deep observability, has officially launched the first phase of its multi-year artificial intelligence strategy, delivering a suite of intelligent innovations designed to safeguard and optimize hybrid cloud environments. The initiative introduces two groundbreaking capabilities:
- AI Traffic Intelligence, offering real-time visibility into GenAI and LLM traffic
- GigaVUE-FM Copilot, a GenAI-powered assistant that streamlines deployment and operations
These enhancements integrate AI directly into the Gigamon Deep Observability Pipeline, enabling enterprises to eliminate blind spots, enhance governance, and boost operational agility as AI workloads surge.
Middle East & Africa: Accelerating Digital Transformation Requires Deep AI Visibility
Amid rapid AI adoption in the Middle East and Africa, organizations face mounting challenges around visibility, risk management, and regulatory compliance. In the UAE, a recent survey found that 1 in 3 companies lacks confidence in detecting unauthorized AI usage, while 40% of Saudi organizations report limited insight into internal AI activity.
Gigamon’s AI-powered solutions directly address these concerns, delivering end-to-end observability of AI traffic across public, private, virtual, and containerized environments—even when encrypted. This is particularly aligned with national cybersecurity strategies and evolving governance frameworks in the region.
“As AI adoption accelerates, deep observability is no longer optional—it’s essential,” said Damian Wilk, General Manager for EMEA Emerging Markets at Gigamon. “Our latest capabilities empower organizations across the Middle East and Africa to gain control over shadow AI risks and strengthen security posture within hybrid cloud infrastructures.”
AI Traffic Intelligence: Real-Time Insights Into GenAI Activity
Gigamon AI Traffic Intelligence provides organizations with real-time visibility into GenAI and LLM activity from 17 major AI engines, including ChatGPT, Gemini, DeepSeek, and others. It supports custom AI traffic targeting and functions agentlessly, applying even to encrypted data streams.
With AI Traffic Intelligence, organizations can:
- Detect and monitor shadow AI and unsanctioned AI usage
- Track GenAI usage patterns to improve cost efficiency and governance
- Gain actionable, network-derived telemetry without deploying agents
- Enable policy-based control across hybrid and multi-cloud environments
“Clear visibility into GenAI network traffic is now mission-critical,” said Bob Laliberte, Principal Analyst at theCUBE Research. “Gigamon’s AI-driven insights offer an unprecedented advantage for IT and security teams navigating the AI era.”
GigaVUE-FM Copilot: GenAI Assistant for Faster Deployment and Self-Service
Also announced is the GigaVUE-FM Copilot, a GenAI-powered assistant embedded within the GigaVUE Fabric Manager. Designed to reduce configuration complexity and speed up issue resolution, Copilot leverages a natural language interface to access technical documentation, deployment guides, and support resources—delivering context-aware answers instantly.
Key benefits of GigaVUE-FM Copilot include:
- Simplified onboarding and feature adoption
- Automated troubleshooting through documentation search
- Reduced dependency on Tier 3 technical support
- Improved productivity across security, IT, and DevOps teams
- Centralized, secure access to Gigamon’s internal knowledge base
By embedding GenAI into day-to-day operations, Copilot enables teams—regardless of skill level—to manage deployments with greater speed, autonomy, and accuracy.
Availability and Future Roadmap
- 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 H2 2025.
Gigamon’s roadmap includes further AI enhancements, to be showcased at the Visualyze Bootcamp, a virtual customer conference scheduled for September 9–11, 2025.
“As GenAI adoption matures, so must our approach to securing it,” said Michael Dickman, Chief Product Officer at Gigamon. “You can’t secure what you can’t see—so we’re putting visibility front and center in every AI deployment.”
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