Latest news with #MichaelDickman
Scoop
16 hours ago
- Business
- Scoop
Gigamon Launches AI Tools For Deep Observability
Multi-phase AI strategy delivers intelligent visibility and automation, sets a new standard for hybrid cloud security and management Gigamon, a leader in deep observability, today announced the first phase of its multi-year AI strategy, introducing foundational innovations designed to help organizations better secure and manage hybrid cloud infrastructure. The initial offerings include Gigamon AI Traffic Intelligence, which delivers real-time visibility into GenAI and LLM traffic across 17 leading engines to enable data-driven enforcement and policy governance, and GigaVUE Fabric Manager (FM) Copilot, a GenAI-powered assistant that simplifies onboarding, configuration, management, and troubleshooting of Gigamon deployments. By embedding AI into the Deep Observability Pipeline, Gigamon expands its value to customers by eliminating blind spots, strengthening governance, and enhancing operational efficiency across modern hybrid environments. We're embedding AI directly into the Deep Observability Pipeline to help customers strengthen cybersecurity with practical, easy-to-implement capabilities that keep pace with the speed and complexity of AI adoption. As GenAI workloads multiply, organizations face surging data volumes, expanding attack surfaces, and growing security risks. One of the most fundamental challenges is simply knowing which AI services are in use. In the 2025 Hybrid Cloud Security Survey of over 1,000 global Security and IT leaders, one in three reported that network traffic has more than doubled due to AI workloads, while 55 percent said their tools are failing to detect modern threats. In response, 88 percent now consider deep observability—combining network-derived telemetry with log data—essential for securing and scaling AI deployments across hybrid cloud infrastructure. 'As GenAI use matures in organizations, we're focused on both AI for security and security for AI,' said Michael Dickman, chief product officer at Gigamon. 'It has never been more true that you cannot secure what you cannot see, making complete visibility into AI traffic and workloads, including shadow AI usage, critical for today's Security and IT teams. That is why we're embedding AI directly into the Deep Observability Pipeline to help customers strengthen cybersecurity with practical, easy-to-implement capabilities that keep pace with the speed and complexity of AI adoption.' Complete Visibility into AI and GenAI Network Traffic: A New Standard for Cybersecurity The Gigamon Deep Observability Pipeline efficiently delivers actionable network-derived telemetry, including packets, flows, and application metadata directly to cloud, security, and observability tools, bringing the complete picture into focus. With the new AI Traffic Intelligence capability, organizations gain real-time visibility into GenAI and LLM activity from 17 leading engines, including ChatGPT, Gemini, and DeepSeek. The capability also allows user-defined targeting of additional LLMs beyond the pre-defined set, extending flexibility and reach. For ease of integration, this intelligence is agentless and applies even to encrypted data in motion, surfacing shadow AI usage and enabling more effective, policy-driven governance. AI Traffic Intelligence enables organizations to: Gain real-time insights into GenAI and LLM traffic across public, private, virtual, and container environments Identify shadow AI, or unsanctioned AI usage, to reduce risk and improve oversight Track usage patterns to inform governance and manage AI-related costs Empower Security and IT teams with trusted, network-derived telemetry to drive informed decisions 'Gigamon has established itself as a trusted source of granular network data, providing comprehensive visibility across highly complex, distributed environments,' said Bob Laliberte, principal analyst at theCUBE Research. 'As AI increases the complexity and volume of network traffic, clear visibility into GenAI activity has become critical. Gigamon is well-positioned to meet these emerging challenges by delivering the requisite insights to monitor AI usage, regain control, and take decisive action.' 'AI is accelerating digital transformation, but it's also introducing security risks and data challenges across hybrid cloud infrastructure," said Chris Konrad, vice president, Global Cyber at World Wide Technology (WWT). 'By integrating AI into its Deep Observability Pipeline, Gigamon delivers the complete visibility and insights our customers need to detect threats, govern GenAI use, and strengthen cybersecurity best practices. At WWT, we're proud to partner with Gigamon to shape the future of hybrid cloud security by delivering the deep observability customers require.' GigaVUE-FM Copilot Simplifies Deployment and Day-to-Day Operations Gigamon also introduced GigaVUE-FM Copilot, a GenAI-powered assistant designed to help organizations onboard, configure, manage, and troubleshoot their Gigamon environments with greater speed and accuracy. Embedded directly within GigaVUE-FM, GigaVUE-FM Copilot enables Security and IT teams to reduce time to insight, simplify complex workflows, and improve productivity. Through a natural language interface, GigaVUE-FM Copilot securely connects users directly to the internal knowledge base and LLM contained within technical documentation, deployment guides, and release notes, delivering fast, context-aware answers. This capability empowers Security, IT, and DevOps teams to resolve issues independently, whether or not they are power users, and reduce reliance on Tier 3 support resources. With GigaVUE-FM Copilot, organizations can: Simplify configuration and management using GenAI-assisted support Accelerate onboarding and feature discovery to improve readiness Instantly search documentation to troubleshoot and apply best practices Reduce Tier 3 support escalations by enabling broader self-service Improve operational efficiency across teams and environments Availability and Roadmap The AI Traffic Intelligence capability is available now for all GigaVUE Cloud Suite customers. GigaVUE-FM Copilot is in early access for select customers, with general availability in 2H25. Additional AI-powered innovations are underway as part of the multi-phase strategy and will be spotlighted at the Gigamon Visualyze Bootcamp, the company's virtual customer conference taking place Sept. 9–11. For more information
Techday NZ
2 days ago
- Business
- Techday NZ
Gigamon launches AI tools to boost hybrid cloud security
Gigamon has announced the first phase of its artificial intelligence (AI) strategy aimed at improving security, visibility, and operational efficiency across hybrid cloud environments. The company is introducing AI Traffic Intelligence to provide real-time monitoring of generative AI (GenAI) and large language model (LLM) network activity across 17 widely used engines, and GigaVUE Fabric Manager (FM) Copilot, a GenAI-powered assistant intended to streamline the management and deployment of Gigamon solutions. Hybrid cloud complexity As organisations increase their use of GenAI in various business processes, they report rising data volumes, broader attack surfaces, and new security risks. According to the 2025 Hybrid Cloud Security Survey conducted by Gigamon, one in three leaders said network traffic has more than doubled due to AI deployment, and 55 percent indicated that their existing security tools are unable to detect modern threats. In response, 88 percent stated that enhanced observability—combining network-based telemetry with log data—is now essential for safeguarding and scaling AI workloads in hybrid cloud infrastructures. "As GenAI use matures in organizations, we're focused on both AI for security and security for AI," said Michael Dickman, chief product officer at Gigamon. "It has never been more true that you cannot secure what you cannot see, making complete visibility into AI traffic and workloads, including shadow AI usage, critical for today's Security and IT teams. That is why we're embedding AI directly into the Deep Observability Pipeline to help customers strengthen cybersecurity with practical, easy-to-implement capabilities that keep pace with the speed and complexity of AI adoption." Monitoring GenAI usage The new AI Traffic Intelligence feature adds an agentless, real-time layer of visibility into GenAI and LLM activity from a range of platforms, including ChatGPT, Gemini, and DeepSeek. With user-defined targeting available, organisations are able to monitor additional or emerging LLMs beyond the initially included set, thus adapting coverage as technologies evolve. This tool can detect GenAI activity even when network data is encrypted, enabling policy-driven governance and highlighting any unsanctioned or "shadow AI" usage. The feature allows organisations to gain insights into GenAI and LLM traffic across multiple environments—including public, private, virtual, and container infrastructures—identify unauthorised service usage, manage AI-related costs, and deliver network-derived telemetry for decision-making. "Gigamon has established itself as a trusted source of granular network data, providing comprehensive visibility across highly complex, distributed environments," said Bob Laliberte, principal analyst at theCUBE Research. "As AI increases the complexity and volume of network traffic, clear visibility into GenAI activity has become critical. Gigamon is well-positioned to meet these emerging challenges by delivering the requisite insights to monitor AI usage, regain control, and take decisive action." "AI is accelerating digital transformation, but it's also introducing security risks and data challenges across hybrid cloud infrastructure," said Chris Konrad, vice president, Global Cyber at World Wide Technology (WWT). "By integrating AI into its Deep Observability Pipeline, Gigamon delivers the complete visibility and insights our customers need to detect threats, govern GenAI use, and strengthen cybersecurity best practices. At WWT, we're proud to partner with Gigamon to shape the future of hybrid cloud security by delivering the deep observability customers require." GigaVUE-FM Copilot Gigamon is also unveiling GigaVUE-FM Copilot, a GenAI-based assistant designed to improve the onboarding, configuration, and troubleshooting of Gigamon solutions. Delivered through a natural language interface integrated in GigaVUE-FM, Copilot can connect users to internal technical resources and documentation, providing rapid, context-aware answers. This allows Security, IT, and DevOps teams to resolve issues autonomously and reduce their reliance on advanced tier support. The tool is designed to simplify configuration and management, accelerate onboarding, enable fast documentation search for troubleshooting, reduce the need for escalated support, and improve operational efficiency across diverse teams. Availability The AI Traffic Intelligence capability is now offered to all Gigamon Cloud Suite customers. GigaVUE-FM Copilot is currently in early access for selected customers, with plans for general availability in the second half of 2025. The company also indicated further AI-powered enhancements will follow as part of its wider, multi-phase strategy.
