Embracing AI in the Cloud: Gigamon’s Vision for Secure Hybrid Environments

In an era where digital transformation is paramount, companies are increasingly turning to artificial intelligence (AI) to fortify their operations. Gigamon, a frontrunner in network visibility and security, recently unveiled the first phase of its ambitious multi-year AI strategy. This initiative is designed to enhance the security and management of hybrid cloud infrastructures, presenting tools that promise to illuminate the often opaque world of data in motion.

Unveiling New Innovations

The introduction of Gigamon AI Traffic Intelligence and GigaVUE Fabric Manager (FM) Copilot marks a significant leap in how organizations can monitor and secure their hybrid environments. These innovative tools are crafted to tackle the challenges of blind spots in data visibility, governance issues, and operational inefficiencies. By integrating AI into its Deep Observability Pipeline, Gigamon aims to offer organizations a clearer lens through which to view their digital assets.

The impetus for such solutions is underscored by recent findings from the UAE, where one in three enterprises expressed uncertainty about their ability to detect unauthorized AI usage. A similar sentiment resonates in Saudi Arabia, where nearly 40% of businesses remain unsure of their visibility into AI applications. These statistics reveal an urgent demand for effective AI governance solutions, a gap that Gigamon’s offerings are poised to fill.

A Growing Demand for Deep Observability

Damian Wilk, the General Manager for EMEA Emerging Markets at Gigamon, articulates the pressing need for enhanced observability amidst this rapid AI adoption. "Organizations across the Middle East and Africa are quickly leveraging AI to drive business value," he notes. As organizations lean more heavily on technology, ensuring visibility into AI operations becomes critical for safeguarding digital frameworks.

As AI’s influence expands, so too do the challenges organizations face. The Hybrid Cloud Security Survey of 2025, which surveyed over 1,000 global security and IT leaders, revealed that network traffic has more than doubled for a third of respondents due to burgeoning AI workloads. Alarmingly, 55% of these leaders reported that their existing tools were failing to identify modern threats. In light of such findings, it’s clear that deep observability—an approach that integrates network data and telemetry—is indispensable for securing AI deployments.

Insights from Industry Experts

Michael Dickman, Chief Product Officer at Gigamon, emphasizes the dual focus required in this landscape of evolving technological challenges. “As GenAI use matures in organizations, we’re concentrated on both AI for security and security for AI," he states. Recognizing that visibility is fundamental to effective security, Dickman underscores the importance of monitoring AI traffic and workloads, including shadow AI use. This commitment to transparency is integral to providing security teams with the tools they need to protect their organizations.

Real-Time Analytics and Governance

The capabilities introduced in Gigamon’s AI Traffic Intelligence feature are particularly noteworthy. They deliver real-time insights into Generative AI and Large Language Model (LLM) activities, encompassing 17 leading engines, such as ChatGPT and Gemini. This advanced intelligence also extends to encrypted data in motion, which traditionally poses a significant challenge for visibility. By illuminating shadow AI usage, organizations can effectively implement policies that manage and govern these crucial digital assets.

“Gigamon has established itself as a trusted source of granular network data,” says Bob Laliberte, a principal analyst at theCUBE Research. He points out that as AI traffic complexity surges, the ability to monitor GenAI activity becomes increasingly critical. Gigamon’s innovations are set to empower organizations to regain control and take swift action in managing their AI usage.

Redefining IT Efficiency with GigaVUE-FM Copilot

Alongside AI Traffic Intelligence, Gigamon has unveiled GigaVUE-FM Copilot, a GenAI-powered assistant designed to streamline the onboarding and management processes for Gigamon environments. The innovative assistant applies natural language processing to offer context-aware answers directly derived from technical resources. This functionality not only enhances productivity for security and IT teams but also reduces dependency on heavy support structures, thus fostering a more agile working environment.

Currently, AI Traffic Intelligence is available to all GigaVUE Cloud Suite customers, while GigaVUE-FM Copilot is in early access for select users, with general availability anticipated in the latter half of 2025. As part of a broader strategy, Gigamon plans to unveil additional AI-driven features at the upcoming Gigamon Visualyze Bootcamp, a virtual event expected to showcase the company’s forward-thinking innovations.

Conclusion: A Future of Enhanced Security and Governance

Gigamon’s proactive approach to embedding AI within its suite of products is not just about keeping up with technological trends; it is about leading the industry towards safer, more efficient hybrid cloud environments. With the rapid pace of digital transformation, the need for enhanced visibility and governance has never been more urgent. As businesses navigate this complex landscape, Gigamon’s vision represents a beacon of hope, guiding organizations towards a more secure future in an increasingly AI-driven world.