Will TownsendEvery fall for the past six years, Gigamon hosts engaging discussions with its customers and business partners during its signature Visualyze Bootcamp virtual event. This year, a major theme centered on how the company’s deep observability pipeline is evolving in the AI era.
Keynotes from Chief Executive Shane Buckley and other executives also underscored that network-derived telemetry is quickly becoming foundational in unlocking new ways for enterprises to detect threats, troubleshoot application performance, and close compliance gaps across hybrid and multi-cloud environments. In this piece, I will dive deeper into these areas and share why I believe Gigamon continues to refine its solution strengths and deliver continued value through product innovation, its deep observability pipeline, and a broad and deep partner ecosystem.
Gigamon Insights and the Power of Agentic AI
An important solution announcement at Gigamon Visualyze Bootcamp 2025 was made with Gigamon Insights, an AI-driven application that has the potential to transform how security and networking teams address fundamental business challenges.
Built on the company’s Application Metadata Intelligence, Gigamon Insights integrates seamlessly with widely adopted platforms including Elastic, Splunk, and AWS cloud services. At its core is an agentic AI framework that enables IT teams to query trusted metadata directly and receive immediate context-rich insights, eliminating the need for swivel chair management.
From my perspective, Gigamon Insights addresses the challenge of management complexity tied to extracting value from telemetry pipelines. In doing so, it improves operational efficiency and shortens the mean time to resolution of misconfiguration faults, network outages, and breach mitigation. Through the acceleration of investigations and determination of root cause, the solution has the capacity to empower even junior security analysts with expert-level insights leading to improved business outcomes.
I also appreciate Gigamon Insights’ highly flexible architecture that supports private or bring-your-own LLMs, providing customer choice and control over bespoke IT environments. Early access to Gigamon Insights is expected to begin in calendar Q4 of this year.
Addressing the AI-Weaponized Threat Landscape
Bad actors are leaning aggressively into modern AI to improve the sophistication of cyberattacks and scale them dramatically. According to the Gigamon 2025 Hybrid Cloud Security Survey, more than half of security and IT leader respondents report a surge in attacks targeting large language model deployments, as well as an alarming rise in AI-driven ransomware campaigns. Enterprises must respond in kind with tools that are equally intelligent and adaptive, beyond generative AI and co-pilot integrations that ease analysis and analyst onboarding within the SOC.
The company’s thesis is that network-derived telemetry offers the ultimate source of truth, and I concur with its assessment. Log-based tools have value, but they often miss suspect lateral East-West traffic where sophisticated threats often move undetected. Through the enrichment of raw network data coupled with application-level intelligence, Gigamon is providing deeper visibility that is needed to fight AI with AI.
The Value of Telemetry Beyond Cyber Protection
Much of what I have highlighted thus far is security oriented, and enterprises can absolutely take advantage of leveraging telemetry to improve Zero Trust enforcement, detect expired certificates, and validate micro-segmentation policies. However, application performance and compliance are equally important.
IT teams can use telemetry to have greater visibility to application performance problems that conventional tools might overlook across hybrid domains — both multi-cloud and on-premises. This capability provides incredible value in ensuring higher productivity, fewer trouble tickets, and better user experiences. It is also worth noting that combining security, network assurance, and compliance in a single solution has enormous potential to reduce operational cost and deliver higher return on investment over time.
Sarah Banks, vice president of product management at Gigamon, recently provided her thoughts, stating, “Network-derived telemetry is the best way to truly know what is happening across hybrid cloud infrastructure.” If you are interested in learning more, this recent company blog goes into further detail.
It Takes a Village
Gigamon Visualyze Bootcamp 2025 also went far to highlight the strength of the company’s partner ecosystem. Over its three-day run, many partners presented practical demonstrations of how AI-powered telemetry continues to shape and sharpen IT workflows. AWS, Elastic, and Splunk are three powerful Gigamon partnerships that were presented and are worth highlighting.
- AWS demonstrated how Gigamon telemetry enhances cloud-native security by closing visibility gaps in complex deployment environments. From my perspective, correlating telemetry data with AWS-native security services creates a strong defense-in-depth model. I would highly recommend watching the session “From Network Metadata to AI Intelligence: Gigamon AMI Meets Amazon Bedrock” with Bassam Khan, vice president of product and technical marketing engineering at Gigamon, and Aarushi Karandikar, solutions architect at AWS. It is available for replay on the company’s BrightTALK channel.
- Elastic is well-known for its ability to search and analyze massive datasets at speed. With the integration of Gigamon-enriched telemetry directly into Elastic Security, the company is helping customers achieve real-time visibility into lateral movement and detect subtle anomalies that could signal a breach. Elastic is leveraging Gigamon Insights to reduce alert fatigue, transforming floods of security alerts into a prioritized, context-rich set of actionable insights.
- Splunk is an unquestioned leader in enterprise security and observability. By incorporating Gigamon Insights into Splunk workflows, even less experienced security analysts can conduct investigations with higher levels of expertise. It is a powerful example of how Gigamon capabilities enrich an already powerful Splunk platform.
The Gigamon technology partner ecosystem continues to mature, and it is a testament to the power of collaboration in fortifying security, compliance, and operations in ways that are practical, scalable, and transformative. Network-derived telemetry is becoming foundational for securing and optimizing digital infrastructure in an AI-driven world, especially when it comes to runtime protection and an ever-changing threat landscape.
Looking to the Future
While Gigamon Visualyze Bootcamp 2025 demonstrated the power of agentic AI frameworks, telemetry, and ecosystem collaboration, the company will have to keep pace. New challenges will continue to thwart networking and security teams as modern AI matures and is weaponized by bad actors. If Gigamon can continue to execute on its product roadmap and look for new adjacencies, I am confident that it can continue its success in the modern AI era.
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