Gigamon Insights: Agentic AI Revolutionizes Threat Detection and Root-Cause Analysis

In an era where cyber adversaries are increasingly leveraging artificial intelligence to accelerate their attacks and exploit network blind spots, security and IT teams are facing unprecedented challenges. These challenges are further exacerbated by a global shortage of skilled professionals and the limitations of traditional log-based security tools, which were not designed to counter sophisticated AI-powered threats. A recent survey of over 1,000 security and IT leaders highlighted this growing concern, with 53% reporting an increase in attacks targeting their organization’s Large Language Model (LLM) deployments and a rise in AI-driven ransomware campaigns.

Gigamon, a key player in network visibility, has responded to this evolving threat landscape with the introduction of Gigamon Insights. This new agentic AI application is purpose-built to process network-derived telemetry, offering immediate, context-rich guidance to security and IT operations teams. By integrating with leading SIEM and observability platforms from Elastic and Splunk, as well as cloud services from Amazon Web Services (AWS), Gigamon Insights aims to significantly boost IT productivity. It achieves this by accelerating investigations and eliminating the need for analysts to manually sift through vast amounts of data across multiple dashboards.

Accelerating AI Threats Demand a New Approach

Sarah Banks, vice president of product management at Gigamon, emphasized the critical need for new strategies in securing, optimizing, and managing networks and applications in the face of escalating AI threats. "AI continues to raise the stakes for Security and IT teams, requiring new approaches to secure, optimize, and manage networks and applications," Banks stated. "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."

Gigamon Insights is designed to empower analysts by allowing them to ask questions, query trusted metadata, and receive actionable insights and recommended actions directly within the platforms they already utilize. This capability not only reduces the Mean Time To Resolution (MTTR) but also frees up valuable analyst time, enabling them to focus on higher-value, strategic tasks. The platform advances Gigamon’s AI vision to help organizations detect previously unseen threats, resolve performance issues more rapidly, and close compliance gaps across complex hybrid cloud environments.

Advancing the Deep Observability Pipeline, Empowering the Ecosystem

The foundation of Gigamon Insights is the Gigamon Deep Observability Pipeline. This pipeline delivers high-fidelity network telemetry, encompassing packets, flows, and application-aware metadata, directly to various cloud, security, and observability platforms. By integrating AI with this trusted network data, Gigamon Insights effectively closes critical visibility gaps often present in SIEM and cloud tools. This provides immediate, context-rich intelligence, enabling analysts to respond to threats with greater speed and precision.

The agentic interface of Gigamon Insights allows security and IT teams to leverage pre-defined prompts or craft free-form queries for deep investigations, guided troubleshooting, and rapid incident response. This empowers junior analysts to perform at the level of seasoned experts, significantly reducing training costs, accelerating root cause analysis, and strengthening overall threat visibility across the organization.

Gigamon Insights offers several key capabilities designed to benefit organizations:

• Accelerated Investigations: Saves valuable analyst time by speeding up investigations and reducing the mean time to resolution.
• Advanced Threat Detection: Detects sophisticated threats such as lateral movement and command-and-control activity, further reducing MTTR.
• Compliance Gap Identification: Pinpoints compliance issues, including expired certificates and weak encryption protocols.
• Zero Trust Enforcement: Validates microsegmentation policies to enhance Zero Trust security postures.
• Continuous Hybrid Cloud Visibility: Maintains consistent visibility across hybrid cloud infrastructures by serving as an independent source of truth.
• Real-time Troubleshooting: Guides troubleshooting activities in real time, providing immediate assistance to IT and security teams.

Alan Weckel, analyst at 650 Group, commented on the significance of this development: "As enterprises move toward AI-driven architectures, one constant remains: the foundational value of network-derived telemetry. 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."

Flexible AI Architecture, Full Customer Control

Gigamon Insights is built on a flexible AI architecture that combines a robust telemetry pipeline with advanced LLM capabilities. This architecture supports AI-powered detection and troubleshooting across security, network, application, and cloud domains. A key advantage for customers is the flexibility in AI deployment. Organizations can opt for private hosted models or integrate Gigamon Insights with their existing enterprise AI systems. This approach ensures that sensitive data remains under the customer