Gigamon launches GigaVUE-GSA110 for AI network ops

Gigamon has introduced the GigaVUE-GSA110 network appliance for AI-enabled network and security operations, adding distributed processing to its Deep Observability Pipeline.

Designed to sit alongside existing GigaVUE TA Series and HC Series deployments, the appliance adds dedicated GigaSMART processing capacity across distributed environments. It supports Gigamon's Application Metadata Intelligence, or AMI, across up to 400 Gbps of network traffic and packet processing for up to 800 Gbps in a 1RU form factor.

The launch comes as companies manage increasingly complex mixes of public cloud, private cloud and on-premises systems for AI workloads. In that environment, network and security teams are under pressure to track how applications, users, services, agents and models interact across infrastructure.

The product is aimed at that shift, with AMI converting network traffic into application context that can be sent to security, observability, data and AI systems. Its disaggregated design lets customers add processing where needed rather than expanding visibility infrastructure across an entire estate.

Hybrid AI

Gigamon linked the launch to the rise of what it called hybrid AI architectures, in which organisations use a mix of frontier, open-weight, specialised and private models depending on cost, performance, governance and data requirements. That approach can spread AI workloads across several environments, making operational oversight harder for internal teams.

The company said this increases the need for trusted network context, particularly for businesses trying to identify sanctioned and unsanctioned AI use. AMI can identify and classify generative AI and large language model application traffic, including so-called shadow AI activity, according to Gigamon.

Gigamon also highlighted changes to telemetry delivery. Native JSON export, plus support for JSON, CEF and IPFIX, is intended to let network-derived telemetry feed into downstream tools, including existing security and observability workflows as well as data and AI platforms.

Another update affects HTTPS metadata. A new AMI enhancement combines two metadata records into one unified record for HTTPS traffic, cutting the number of metadata records for those flows by about half while keeping application context intact, the company said.

Processing scale

The hardware and software changes are aimed at customers that need to scale packet optimisation and application intelligence as traffic volumes rise. The appliance can deliver optimised packet traffic to packet-based tools while also generating AMI-derived telemetry for systems that rely on application and protocol context, according to Gigamon.

That dual role reflects a broader shift in network operations, where teams increasingly need both raw traffic visibility and higher-level metadata. Vendors in this area have been repositioning network monitoring tools to serve security operations and automated analysis as organisations expand cloud estates and connect more services across them.

Gigamon said the Deep Observability Pipeline provides what it describes as an independent view of activity across hybrid cloud infrastructure by turning network traffic into network-derived telemetry. The GigaVUE-GSA110 adds processing capacity to that framework rather than replacing existing deployments.

Research cited by Gigamon points to a longer-term move towards selective use of public cloud for AI workloads, with more sensitive or performance-intensive deployments staying in private or localised environments. That pattern would leave many organisations managing AI operations across several domains at once, increasing the value of tools that can provide a unified operational picture.

Gigamon says it serves more than 4,000 organisations worldwide and has made observability and traffic intelligence central to its positioning in hybrid cloud security and network operations. Customers include large enterprises, mobile network operators and public sector bodies, according to the company.

"Hybrid AI and agentic workflows will fundamentally change how enterprises operate and secure increasingly distributed infrastructure," said Gareth Maclachlan, Chief Operating Officer at Gigamon.

"As network and security operations become more AI-enabled, they need consistent, trusted network context to analyze activity and make informed decisions. The GigaVUE-GSA110 extends the Deep Observability Pipeline with distributed processing capacity and application intelligence at scale, helping organizations investigate issues faster, strengthen governance, and build a stronger foundation for AI-enabled operations," Maclachlan said.