Skip to main content

Extreme Networks Adds New Capabilities to Extreme Platform ONE

Extreme Networks launched new capabilities within Extreme Platform ONE™, now in Limited Availability—integrating conversational, multimodal, and agentic AI into one enterprise networking platform. 

Extreme Platform ONE breaks down silos between networking and security, automates tasks through AI agents, and offers the industry’s simplest licensing—reducing mundane networking tasks from hours to minutes and minutes to seconds. Earlier this year, Extreme made the platform available to E-Rate customers and announced General Availability to Managed Service Providers (MSPs).

“Extreme Platform ONE is transformative, saving customers hours, streamlining operations, and delivering insights that allow teams to act faster. And with 130 plus customers already on the platform, we’re encouraged by the positive feedback and energized by the real-world results they’re seeing as they unlock new levels of visibility, control, and efficiency across their networks,” said Ed Meyercord, President and CEO of Extreme.

Extreme Platform ONE:

  • Delivers up to 90 percent reduction in manual tasks with AI at every interaction: Extreme’s conversational, multimodal, and agentic AI goes beyond traditional AIOps, giving users access to trusted knowledge such as product documentation, 30,000+ Global Technical Assistance Center (GTAC) articles, common vulnerabilities and exposures, training content, and more, in a single place. With AI integrated at every step, users have answers when and where they need them. With AI Canvas, users can generate real-time interactive dashboards, shareable insights, and visual reports in minutes—reducing the heavy lift of manual reporting.
  • Powered by advanced agentic AI, Extreme’s Service AI Agent cuts resolution times by up to 98 percent through automated diagnostics, delivering a faster, smarter support experience, with a human in the loop. Like having your best support agent always by your side and on call 24x7, Service AI Agent gathers logs, analyzes telemetry, autonomously troubleshoots issues across wireless and fabric in seconds, and, if customers choose, can auto-remediate issues. When escalation is needed, it auto-generates cases and hands them off to GTAC with no forms or waiting.
  • Cuts 8 Clicks to 1: Improves productivity, cuts unnecessary steps: Extreme Platform ONE’s workspace is the industry’s first workspace built from the ground up to deliver real-time, hyper-personalized experiences for every role, from network operators and procurement teams to executives. One workspace improves productivity by eliminating the need to work across multiple applications. Its unique cross-team AI-assisted workflows enable better collaboration between cross-functional teams in one unified, intuitive experience.
  • Delivers deep and wide visualization removing network blind spots: Extreme Platform ONE offers visibility across physical, access, fabric, and service layers via a single login, delivering deeper, broader visibility than any other management solution or application. With rich views like geo maps, topology, and fabric overlays, customers can see everything from global environments to individual policies, devices, and subscriptions. Integrated orchestration and workflows eliminate the need for multiple tools and streamline planning, design, troubleshooting, and root cause analysis to minimize downtime.
  • Decreases Risk with Integrated Access Security: Based on ExtremeCloud™ Universal ZTNA, Extreme delivers AI-assisted policy recommendations that can be applied in just a few clicks, simplifying access security through a single identity-based engine. It unifies policy across users, devices, locations, networks, and applications, cutting complexity, conflicts, and errors. An advisory AI agent validates access requests, suggests optimal group and policy use, ensures consistent enforcement, and offers real-time setup guidance. This automation replaces dozens of manual steps, turning hours into minutes, easing the SecOps workload, and reducing risk through consistent, streamlined security.
  • Unlocks Industry’s Simplest Licensing: All-in-one licensing makes upgrades and renewals seamless. Extreme simplifies it all with full visibility into assets and contracts, free software trials, and unmatched value in its standard license. With Extreme AI and smart workflows, customers can renew in minutes and get instant and tailored hardware recommendations.

“Extreme Platform ONE makes the impossible, possible. There is no other architecture and management combination in the industry that gives you that much information about your end-to-end enterprise in real time. And as the first in our industry to fully unify conversational, multimodal, and agentic AI, we’re delivering intelligence and automation at every layer of the network—reducing complexity at every turn and taking tasks from hours to minutes to an instant,” said Nabil Bukhari, Chief Product and Technology Officer, Extreme Networks.

Extreme Platform ONE is now in Limited Availability, with General Availability planned for Q3CY25. 

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Extreme Networks Adds New Capabilities to Extreme Platform ONE

Extreme Networks launched new capabilities within Extreme Platform ONE™, now in Limited Availability—integrating conversational, multimodal, and agentic AI into one enterprise networking platform. 

Extreme Platform ONE breaks down silos between networking and security, automates tasks through AI agents, and offers the industry’s simplest licensing—reducing mundane networking tasks from hours to minutes and minutes to seconds. Earlier this year, Extreme made the platform available to E-Rate customers and announced General Availability to Managed Service Providers (MSPs).

“Extreme Platform ONE is transformative, saving customers hours, streamlining operations, and delivering insights that allow teams to act faster. And with 130 plus customers already on the platform, we’re encouraged by the positive feedback and energized by the real-world results they’re seeing as they unlock new levels of visibility, control, and efficiency across their networks,” said Ed Meyercord, President and CEO of Extreme.

Extreme Platform ONE:

  • Delivers up to 90 percent reduction in manual tasks with AI at every interaction: Extreme’s conversational, multimodal, and agentic AI goes beyond traditional AIOps, giving users access to trusted knowledge such as product documentation, 30,000+ Global Technical Assistance Center (GTAC) articles, common vulnerabilities and exposures, training content, and more, in a single place. With AI integrated at every step, users have answers when and where they need them. With AI Canvas, users can generate real-time interactive dashboards, shareable insights, and visual reports in minutes—reducing the heavy lift of manual reporting.
  • Powered by advanced agentic AI, Extreme’s Service AI Agent cuts resolution times by up to 98 percent through automated diagnostics, delivering a faster, smarter support experience, with a human in the loop. Like having your best support agent always by your side and on call 24x7, Service AI Agent gathers logs, analyzes telemetry, autonomously troubleshoots issues across wireless and fabric in seconds, and, if customers choose, can auto-remediate issues. When escalation is needed, it auto-generates cases and hands them off to GTAC with no forms or waiting.
  • Cuts 8 Clicks to 1: Improves productivity, cuts unnecessary steps: Extreme Platform ONE’s workspace is the industry’s first workspace built from the ground up to deliver real-time, hyper-personalized experiences for every role, from network operators and procurement teams to executives. One workspace improves productivity by eliminating the need to work across multiple applications. Its unique cross-team AI-assisted workflows enable better collaboration between cross-functional teams in one unified, intuitive experience.
  • Delivers deep and wide visualization removing network blind spots: Extreme Platform ONE offers visibility across physical, access, fabric, and service layers via a single login, delivering deeper, broader visibility than any other management solution or application. With rich views like geo maps, topology, and fabric overlays, customers can see everything from global environments to individual policies, devices, and subscriptions. Integrated orchestration and workflows eliminate the need for multiple tools and streamline planning, design, troubleshooting, and root cause analysis to minimize downtime.
  • Decreases Risk with Integrated Access Security: Based on ExtremeCloud™ Universal ZTNA, Extreme delivers AI-assisted policy recommendations that can be applied in just a few clicks, simplifying access security through a single identity-based engine. It unifies policy across users, devices, locations, networks, and applications, cutting complexity, conflicts, and errors. An advisory AI agent validates access requests, suggests optimal group and policy use, ensures consistent enforcement, and offers real-time setup guidance. This automation replaces dozens of manual steps, turning hours into minutes, easing the SecOps workload, and reducing risk through consistent, streamlined security.
  • Unlocks Industry’s Simplest Licensing: All-in-one licensing makes upgrades and renewals seamless. Extreme simplifies it all with full visibility into assets and contracts, free software trials, and unmatched value in its standard license. With Extreme AI and smart workflows, customers can renew in minutes and get instant and tailored hardware recommendations.

“Extreme Platform ONE makes the impossible, possible. There is no other architecture and management combination in the industry that gives you that much information about your end-to-end enterprise in real time. And as the first in our industry to fully unify conversational, multimodal, and agentic AI, we’re delivering intelligence and automation at every layer of the network—reducing complexity at every turn and taking tasks from hours to minutes to an instant,” said Nabil Bukhari, Chief Product and Technology Officer, Extreme Networks.

Extreme Platform ONE is now in Limited Availability, with General Availability planned for Q3CY25. 

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.