Gigamon announced its latest Gigamon Hawk technical integration with FireEye.
In an advancement of their long-standing relationship, the companies worked closely to integrate Gigamon Hawk, the first elastic visibility and analytics fabric for all data-in-motion across the hybrid cloud. Unlike existing visibility tools, only Hawk is built on a single architecture that spans the entire hybrid infrastructure and can elastically scale to provide visibility across any cloud. This enables IT teams to gain full visibility and control of the performance, security and cost of their hybrid cloud network.
The need for organizational agility has driven the rapid evolution of digital infrastructure. In order to optimize and secure these environments, IT teams have implemented additional applications and management tools at a hurried pace, creating a foundational gap in visibility across the underlying hybrid cloud network. Gigamon Hawk is now integrated with FireEye Network Security, radically simplifying hybrid cloud adoption a unified view across hybrid infrastructure through a single, simple interface with built-in management and reporting.
“Gigamon Hawk establishes an important precedent for cloud visibility capabilities,” said Ramesh Gupta, SVP, Engineering for Network Security at FireEye. “It is not enough to maintain legacy monitoring and security tools, especially as the hybrid workforce remains, and depends, on the cloud to continue business operations as normal. Gigamon Hawk will enable our customers to improve their security posture and gain unified insight into their hybrid cloud.”
“Gigamon has long been at the forefront of network visibility, now delivering a hybrid cloud platform that comes to life via trusted partners like FireEye,” said Michael Dickman, Chief Product Officer at Gigamon. “With Gigamon Hawk customers gain the ability to deploy FireEye cloud network security solutions instantly, and automatically scale out traffic visibility using platform-native automation offerings. Hawk allows IT to create a cloud ‘landing zone’ that includes FireEye and other critical security controls, with the option to refactor for cloud-native security controls, compliance and policies. We are proud to partner with FireEye to simplify, secure and optimize hybrid cloud environments.”
The Latest
Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...
Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...
Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...
If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...