Security provider Gigamon has introduced Gigamon Insights, an agentic AI application that allows security teams to use generative AI prompts to gain actionable insights into an organization’s security, compliance, and performance. The platform is designed to help uncover cyber threats across cloud, container, and on-premises environments.
Leveraging network-derived telemetry to increase productivity
In its official press release, Gigamon stated that this new AI app is designed to enhance IT productivity by automating investigations without the need for manual data sifting through dashboard data.
With Insights, IT teams can use pre-defined prompts or issue free-form queries to generate context-rich insights, run analyses, and act on recommended next steps. The app arrives as security teams face increasingly complex, AI-powered threats.
“AI continues to raise the stakes for Security and IT teams, requiring new approaches to secure, optimize, and manage networks and applications,” said Sarah Banks, vice president of product management at Gigamon.
The agentic AI app ties into the Gigamon Deep Observability Pipeline, with Gigamon Application Intelligence (AMI) being one of its core capabilities. AMI enriches network-derived telemetry with application-level context. This ensures insights generated by the app are both trusted and actionable.
The security provider envisions Gigamon Insights reducing overall mean time to resolution while freeing analysts to take on higher-value tasks.
Beyond faster investigations, Gigamon Insights also promises to safeguard data privacy through a flexible AI architecture that supports private or “bring-your-own” LLMs.
Partner integrations: AWS, Elastic, and Splunk
At launch, Gigamon Insights integrates with AWS along with observability platforms Elastic and Splunk. Olawale Oladehin, director of technology at AWS, framed the collaboration with Gigamon as a response to hybrid-cloud visibility needs.
“As organizations accelerate their cloud adoption journey, comprehensive visibility across hybrid environments is no longer optional—it’s essential for maintaining a robust security posture,” he said.
“Our collaboration with Gigamon brings together AWS’s cloud security capabilities with Gigamon network-derived telemetry, helping our joint customers detect threats faster and respond more effectively through AI,” Oladehin added.
Santosh Krishnan, general manager of observability and security at Elastic, described the integration of Gigamon’s network telemetry into Elastic Security as a way to strengthen Elastic’s mission to deliver data-driven answers via search AI.
“Our partnership with Gigamon builds on that mission, adding a new layer of intelligence to our security platform. By integrating AI-driven network telemetry into Elastic Security, our customers gain deep observability and faster detection of emerging threats across hybrid infrastructure,” he said.
Meanwhile, Jackie Smith, global vice president of platforms and ISV partner sales at Splunk, highlighted the partnership as an extension of Splunk’s AI-first approach to detection and response.
“With the integration of Gigamon Insights, our joint customers can fuse network telemetry with the power of AI directly within their existing Splunk workflow, speeding time to insights and helping every user become a security and observability expert,” she said.
Gigamon previewed Insights at Visualyze Bootcamp, a virtual event that ran Sept. 9–11. General availability for Insights and the initial partner integrations is slated for Q4 2025, with additional integrations to follow.
In a recent Gigamon study, IT teams worldwide ranked AI-generated threats as their top security concern. Read more about the findings and how leveraging observability can help address these emerging risks.