Gigamon, a leader in deep observability, announced the launch of Gigamon Insights, an agentic AI application designed specifically for network-derived telemetry. The solution delivers instant guidance to Security and IT operations teams, helping organizations accelerate investigations, resolve performance issues, and close compliance gaps across hybrid cloud environments.
Gigamon Insights integrates seamlessly with SIEM and observability platforms from Elastic and Splunk, as well as cloud services from AWS, enabling analysts to ask questions, query trusted metadata, and receive context-rich insights and actionable recommendations within the platforms they already use. By reducing mean time to resolution and freeing analysts for higher-value work, the application exemplifies Gigamon’s AI-driven approach to helping organizations detect emerging threats and optimize IT operations.
Built into the Gigamon Deep Observability Pipeline, Gigamon Insights provides faster investigations and root-cause analysis while preserving data privacy through a flexible AI architecture that supports private or “bring-your-own” large language models (LLMs). Its agentic interface allows Security and IT teams to leverage pre-defined prompts or craft free-form queries to generate insights and take immediate action. At the heart of the solution, Gigamon Application Metadata Intelligence (AMI) enriches network telemetry with application-level context, ensuring that insights are both reliable and actionable.
Addressing the Rise of AI-Powered Threats
As cyber adversaries increasingly employ AI to exploit blind spots, security, network, and application teams face mounting challenges amid a global talent shortage. Traditional log-based tools are insufficient for defending against AI-driven attacks. According to the 2025 Hybrid Cloud Security Survey of over 1,000 security and IT leaders, more than half (53%) report increased attacks targeting LLM deployments, along with a rise in AI-powered ransomware campaigns.
“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, product management at Gigamon. “Network-derived telemetry is the best way to truly know what is happening across hybrid cloud infrastructure. Gigamon Insights uses agentic AI to fuse this source of truth with AI at scale, delivering comprehensive business and technical answers directly into the security, observability and cloud tools our customers already trust.”
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Enhancing the Deep Observability Pipeline
Gigamon Insights builds upon the Deep Observability Pipeline, delivering high-fidelity network telemetry, including packets, flows, and application-aware metadata, to cloud, security, and observability platforms. By combining AI with trusted network data, the solution provides immediate, context-rich intelligence, closing visibility gaps in SIEM and cloud tools and empowering analysts to respond faster and with greater precision.
Through the agentic interface, analysts can run prompts or create free-form queries to perform deep investigations, guided troubleshooting, and rapid incident response. This equips junior analysts to operate at the level of seasoned experts, reduces training costs, accelerates root-cause analysis, and strengthens overall threat visibility.
Key Capabilities of Gigamon Insights Include:
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Accelerating investigations and reducing mean time to resolution
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Detecting advanced threats such as lateral movement and command-and-control activity
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Identifying compliance gaps, including expired certificates or weak encryption
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Validating microsegmentation policies to strengthen Zero Trust enforcement
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Maintaining continuous visibility across hybrid cloud infrastructure
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Guiding real-time troubleshooting activities
“As enterprises move toward AI-driven architectures, one constant remains: the foundational value of network-derived telemetry,” said Alan Weckel, co-founder and analyst, 650 Group. “By pairing network-derived telemetry with generative and agentic AI, enterprises can accelerate time to insight and strengthen outcomes across cybersecurity, application performance, and network operations. That’s why deep observability is indispensable in the AI era, and we strongly support the vision Gigamon is bringing to market.”
Partner Perspectives
“As the leader in search AI, our mission is to turn data into answers,” said Santosh Krishnan, general manager, Observability and Security at Elastic. “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.”
“AI continues to be a cornerstone of our strategy to accelerate detection, investigation, and response workflows,” said Jackie Smith, global vice president, Platforms and ISV Partner Sales, at Splunk. “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.”
“As organizations accelerate their cloud adoption journey, comprehensive visibility across hybrid environments is no longer optional it’s essential for maintaining robust security posture,” said Olawale Oladehin, director of technology at AWS. “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. This integration shows our commitment to providing customers with powerful tools that enhance their security operations while maintaining the agility and innovation that cloud enables.”
