Gigamon has rolled out Gigamon Insights, an AI application built to put network-derived telemetry to work for Security, IT, and NetOps teams. It marks a shift in how organizations handle hybrid cloud defense and operations. Instead of wading through dashboards or stitching together scattered log data, analysts can ask direct questions, tap into trusted metadata, and get immediate, context-rich guidance inside the platforms they already use - Elastic, Splunk, and AWS.
Network Data Matters Now
Enterprise networks have become more complex, sprawling across on-premises, multi-cloud, and SaaS environments. With that complexity comes a flood of data, alerts, and performance signals that often leave analysts chasing symptoms rather than causes. At the same time, adversaries are no longer relying on traditional attack methods. The rise of AI-driven ransomware and large-scale exploitation campaigns targeting LLM deployments means defenders need to move as quickly and intelligently as the attackers. Traditional log-based systems, designed for a different era, are struggling to keep pace with this dynamic threat landscape. Gigamon’s bet is that the most reliable source of truth is found in the network itself - and that AI can finally make this telemetry actionable at scale.
Sarah Banks, vice president of product management at Gigamon, explained to MSSP Alert that Gigamon Insights is not intended to replace the SIEM and observability platforms organizations already depend on but to elevate their value.
"Traditional SIEM tools remain the data store and analytics engines for the network-derived telemetry delivered from Gigamon, and customers will continue to rely on those investments for storage and retention,” she said.
"Gigamon Insights adds value by providing a centralized Agentic AI layer that works across these tools through the customer’s MCP servers. This gives customers a single place to apply AI to the data already stored in their platforms. Gigamon Insights also leverages customer-governed LLMs with established AI policies, removing security concerns, and enriches SIEM and observability data with application and network metadata. In doing so, Gigamon Insights delivers deep observability that accelerates threat detection, strengthens security posture, and reduces complexity across hybrid cloud environments.”
Positioning Insights in the AI Stack
Gigamon Insights builds on the company’s Deep Observability Pipeline, which transforms raw packets and flows into enriched metadata through its Application Metadata Intelligence technology. This enriched telemetry provides the application-level context that analysts need to distinguish between a configuration issue, a compliance failure, or a genuine threat. The Insights interface allows users to engage with the data in natural language. Teams can launch investigations with predefined prompts or frame free-form queries, receiving guided analysis and recommended actions in return.
What sets the platform apart is its flexibility in how AI is deployed. Organizations can adopt a private model hosted in their own environment, integrate with enterprise-scale LLMs they already operate, or use a Gigamon-managed option. This approach gives customers control over data privacy while still enabling advanced analytics and AI-driven guidance. It ensures the system adapts to the governance requirements of heavily regulated industries as well as the speed demands of digital-native enterprises.
Banks noted that Gigamon Insights is also designed to evolve rapidly in response to new attack techniques. “Gigamon Insights is designed to work with the customer’s LLM, which is governed according to their existing security policies. Most organizations will use publicly available models, and Gigamon enhances their effectiveness by providing a prompt library that applies AMI metadata to key use cases and personas. Customers and partners can provide feedback, such as thumbs up or down, which is used to tailor prompts for more accurate responses. The prompt library can be updated outside the release cycle, ensuring guidance quickly adapts to emerging threats while remaining aligned with each organization’s risk environment.”
A Shift in Security and Operations
The timing of this launch aligns with growing concern among technology leaders. Security teams are facing an industry-wide shortage of skilled analysts, leaving fewer people to handle a larger volume of incidents. Gigamon Insights is pitched as a way to reduce that strain. By shortening the time it takes to identify root causes and by providing actionable recommendations directly in Elastic, Splunk, and AWS consoles, the platform positions itself as both a force multiplier for experienced professionals and a training accelerator for junior analysts.
The implications extend beyond security. Network operators can trace performance bottlenecks without sifting through logs, while application teams can isolate latency issues that may otherwise be masked by surface-level monitoring. Compliance officers can surface expired certificates or weak encryption policies without running separate audits. All of this is made possible by treating the network as the most authoritative layer of truth and combining it with the reasoning capabilities of AI.
The Ecosystem Approach
Gigamon is framing Insights not as a standalone product but as an extension of the platforms enterprises already use. Its integration with Elastic Security adds an AI-driven layer of intelligence to observability workflows. The Splunk partnership allows network telemetry to be analyzed directly in familiar dashboards, helping incident response teams move from detection to resolution without switching contexts. With AWS, the collaboration highlights a shared emphasis on strengthening security postures across hybrid and cloud-native environments.
For partners such as managed service providers and managed security service providers, Banks said the opportunity is just as significant. “MSPs and MSSPs can leverage Gigamon Insights to create new revenue streams by packaging Gen AI-driven security, performance, and compliance offerings for their customers. By combining the Agentic AI layer with the enriched AMI dataset, partners gain actionable visibility across critical use cases such as threat detection, compliance validation, and application performance. These insights can be automated into managed services, enabling providers to deliver comprehensive monitoring and faster response capabilities. In doing so, Gigamon Insights empowers service providers to differentiate their portfolios, drive customer value, and accelerate time to market for new services.”
Gigamon is previewing Insights at its Visualyze Bootcamp, with general availability planned for the fourth quarter of 2025. The company is promising additional partner integrations beyond Elastic, Splunk, and AWS, signaling that it sees this as a broad platform play rather than a niche add-on. For organizations already grappling with AI-driven threats and the operational complexity of hybrid infrastructure, the launch offers a path toward faster, more reliable decision-making grounded in the one source of truth that cannot be faked: the network itself.
