A New Era of Hybrid Cloud Security: Gigamon’s Vision for AI-Driven Governance

As organizations across the Middle East and Africa accelerate their digital transformation efforts, the imperative for robust security measures in hybrid cloud environments has never been more pressing. Gigamon, a leader in visibility and security solutions, has embarked on a multi-year artificial intelligence (AI) strategy that promises to redefine how enterprises manage their cloud infrastructures. The release of the AI Traffic Intelligence tool and the GigaVUE Fabric Manager (FM) Copilot marks the initial phase of this comprehensive plan, aimed at enhancing operational efficiency and governance.

Addressing Critical Security Needs

The urgency of Gigamon’s initiative is underscored by a recent survey conducted in the UAE, where one-third of companies expressed concerns about their ability to detect unauthorized AI use. In Saudi Arabia, nearly 40% of enterprises found themselves lacking visibility into AI traffic. These findings highlight a common challenge: as AI adoption skyrockets, the need for effective governance solutions becomes critical. Gigamon’s introduction of the Deep Observability Pipeline aims to tackle these challenges head-on by providing real-time insights into AI activity, including encrypted and lateral traffic.

Insights from Industry Veterans

“Organizations across the Middle East and Africa are rapidly embracing artificial intelligence to drive business value as part of their digital transformation journeys," notes Damian Wilk, general manager for EMEA Emerging Markets at Gigamon. “However, with this rapid adoption comes the fundamental need for deep observability to safeguard hybrid cloud infrastructure.” This new emphasis on visibility is timely, as businesses strive to align with national cybersecurity strategies and enhance their posture against emerging threats.

The Data Overload Dilemma

With the proliferation of GenAI workloads, organizations face an avalanche of data, an expanding attack surface, and escalating security risks. A significant challenge identified in the 2025 Hybrid Cloud Security Survey reveals that one in three organizations experienced a doubling of network traffic due to AI workloads. Consequently, 55% admitted their current tools were inadequate for identifying modern threats. In this context, deep observability—combining telemetry with log data—has emerged as essential for securing AI deployments in hybrid cloud settings.

Michael Dickman, Gigamon’s chief product officer, emphasizes the dual focus of their approach: “As GenAI use matures in organizations, we’re focused on both AI for security and security for AI. It has never been more true that you cannot secure what you cannot see, making visibility into AI traffic and workloads critical for today’s Security and IT teams.” This sentiment reflects a growing awareness of the intricate interplay between AI technologies and cybersecurity.

Innovations that Redefine Governance

Central to Gigamon’s suite of offerings is the AI Traffic Intelligence capability, which provides organizations real-time visibility into GenAI and Large Language Model (LLM) activity. Covering 17 leading engines—including popular platforms like ChatGPT and DeepSeek—this feature allows for the targeted identification of AI traffic, even within encrypted data streams. By surfacing shadow AI usage, organizations can enhance their governance practices, track usage patterns, and empower security teams with trusted insights.

Moreover, Gigamon has rolled out the GigaVUE-FM Copilot, a GenAI-powered assistant that revolutionizes the onboarding, configuration, and management processes within Gigamon environments. This innovative tool reduces the time to insight and streamlines workflows, enabling Security and IT teams to operate more efficiently. With a natural language interface that connects users to a vast internal knowledge base, the Copilot modernizes how teams tackle challenges, minimizing dependence on third-tier support.

Looking Ahead

These innovations are not merely stop-gap measures but part of an ongoing commitment to elevate security protocols as AI continues to evolve. AI Traffic Intelligence is presently available to all GigaVUE Cloud Suite customers, while early access for GigaVUE-FM Copilot is underway, with general availability anticipated in late 2025. As further innovations unfold, Gigamon is set to showcase its forward-thinking strategy at the upcoming Gigamon Visualyze Bootcamp, a virtual event scheduled for September 9-11.

Conclusion

In an age where digital transformation is paramount, Gigamon’s proactive measures are a vital step toward securing hybrid cloud infrastructures against evolving threats. With their innovative AI-driven solutions, organizations can enhance their visibility into data traffic and navigate the complexities of AI governance with greater confidence. As the landscape changes, those who can adapt and leverage these technologies will likely emerge as leaders in the digital realm.