Every fall for the past six years, Gigamon hosts engaging discussions with its customers and business partners during its signature Visualyze Bootcamp virtual event. This year, a major theme centered on how the company’s deep observability pipeline is evolving in the AI era. Keynotes from Chief Executive Shane Buckley and other executives also underscored that network-derived telemetry is quickly becoming foundational in unlocking new ways for enterprises to detect threats, troubleshoot application performance, and close compliance gaps across hybrid and multi-cloud environments. In this piece, I will dive deeper into these areas and share why I believe Gigamon continues to refine its solution strengths and deliver continued value through product…

Two decades ago, British mathematician Clive Humbly coined the term “data is the new oil.” His forward-looking statement has certainly come to fruition. With the rise of modern AI, including generative and agentic AI applications and workloads, data plays an invaluable role in the training and inference functions tied to large and smaller algorithmic models. More specifically, in the context of AI-powered cybersecurity and operations, it is network-derived application metadata that matters. If you are not leveraging it, you are potentially flying blind in a digital infrastructure storm. Network and data observability tools are unlocking newfound capabilities for organizations, but the augmentation of intelligence derived from telemetry flows is critical.…

When I speak with network and security professionals, I often find telemetry pipeline management is still flying under the radar. It’s too often treated as an afterthought — something cobbled together with leftover IT budget. But in today’s hybrid, cloud-driven, AI-heavy environments, that mindset can leave your organization exposed and underperforming. In my latest research note for Moor Insights & Strategy — RESEARCH NOTE: The Value of Telemetry Pipeline Management — I explore why telemetry pipelines should be treated as a strategic asset — a core component of modern IT infrastructure. As the volume and complexity of data grow, especially from AI inference and training workloads, enriched telemetry is becoming essential for…

In today’s digital economy, a highly performant network matters. From the delivery of Software-as-a-Service applications to the facilitation of AI workloads, unfettered access to cloud services for economical scale, and collaboration tools designed to enhance productivity — networks underpin it all. Yet, for too long, business leaders have viewed the network as just another piece of commoditized IT infrastructure rather than the backbone underpinning optimized business outcomes. Networks serve as the foundation for agility, foster innovation, and can provide a competitive advantage. However, many deployments suffer from poor performance, unnecessary downtime, and a lack of visibility that can cripple business operational efficiency. That’s why observability, specifically deep observability, should be…