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VMware Introduces Intelligence-Driven Digital Workspace to Empower Employee Experience

-VMware unveiled new innovations to its Workspace ONE platform that improve user experience and enable predictive security across the perimeter-less environment.

Now generally available worldwide, Workspace ONE Intelligence, a new cloud-based service integrated with the Workspace ONE platform, combines aggregation and correlation of users, apps, networks and endpoints data.

VMware also launched the Workspace ONE Trust Network, combining data and analytics from Workspace ONE with a new network of trusted security partner solutions to deliver predictive and automated security.

Lastly, VMware introduced Workspace ONE AirLift – a new Windows 10 co-management technology that will help organizations modernize their approach to PC lifecycle management (PCLM).

“Empowered employees are at the heart of digital transformation. However, providing employees with the tools they need to improve productivity introduces operational complexity and increased cyber threats as apps, devices and networks proliferate and the security perimeter dissolves,” explained Sumit Dhawan, SVP and GM, End-User Computing, VMware. “Our new intelligence-driven digital workspace platform and partner ecosystem help customers leverage the power of insights, automation and predictive security to simplify operations and detect and remediate threats while delivering the best user experience.”

Now generally available worldwide, Workspace ONE features a decision engine that leverages the data to provide actionable recommendations and automation. This intelligent digital workspace can improve employee experience by allowing IT to identify and proactively fix issues before they impact productivity, set employee-friendly access policies, and provide a consistent user experience across devices and platforms while helping mitigate security issues at scale.

Specific capabilities of Workspace ONE Intelligence include:

- Integrated Insights bring together actionable information and recommendations for the entire digital workspace across all endpoints, apps, networks and user experience into one comprehensive view. Integrated insights pinpoint what’s working and what’s not in the environment, including monitoring application performance, and offer tangible recommendations that IT and development can easily act on.

- Insights-Driven Automation powered by a Decision Engine helps customers automate remediation rapidly across their entire digital workspace. Gone are the days of analyzing multiple timely decisions across several stand-alone tools. With the decision engine, IT can create rules to automate and optimize common tasks, such as remediating vulnerable Win 10 endpoints with a critical patch and setting conditional access controls to apps and services at the group or individual level. Automating alerts, notifications and remediation steps enable improved employee self-service to eliminate time spent on issues such as battery changes or answering helpdesk tickets that get in the way of employee productivity. With the decision engine, organizations can create rules to automate remediation across their entire environment including workflows with other third-party services like ServiceNow or Slack.

Workspace ONE Intelligence is now generally available worldwide and included in the new Workspace ONE Enterprise package.

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VMware Introduces Intelligence-Driven Digital Workspace to Empower Employee Experience

-VMware unveiled new innovations to its Workspace ONE platform that improve user experience and enable predictive security across the perimeter-less environment.

Now generally available worldwide, Workspace ONE Intelligence, a new cloud-based service integrated with the Workspace ONE platform, combines aggregation and correlation of users, apps, networks and endpoints data.

VMware also launched the Workspace ONE Trust Network, combining data and analytics from Workspace ONE with a new network of trusted security partner solutions to deliver predictive and automated security.

Lastly, VMware introduced Workspace ONE AirLift – a new Windows 10 co-management technology that will help organizations modernize their approach to PC lifecycle management (PCLM).

“Empowered employees are at the heart of digital transformation. However, providing employees with the tools they need to improve productivity introduces operational complexity and increased cyber threats as apps, devices and networks proliferate and the security perimeter dissolves,” explained Sumit Dhawan, SVP and GM, End-User Computing, VMware. “Our new intelligence-driven digital workspace platform and partner ecosystem help customers leverage the power of insights, automation and predictive security to simplify operations and detect and remediate threats while delivering the best user experience.”

Now generally available worldwide, Workspace ONE features a decision engine that leverages the data to provide actionable recommendations and automation. This intelligent digital workspace can improve employee experience by allowing IT to identify and proactively fix issues before they impact productivity, set employee-friendly access policies, and provide a consistent user experience across devices and platforms while helping mitigate security issues at scale.

Specific capabilities of Workspace ONE Intelligence include:

- Integrated Insights bring together actionable information and recommendations for the entire digital workspace across all endpoints, apps, networks and user experience into one comprehensive view. Integrated insights pinpoint what’s working and what’s not in the environment, including monitoring application performance, and offer tangible recommendations that IT and development can easily act on.

- Insights-Driven Automation powered by a Decision Engine helps customers automate remediation rapidly across their entire digital workspace. Gone are the days of analyzing multiple timely decisions across several stand-alone tools. With the decision engine, IT can create rules to automate and optimize common tasks, such as remediating vulnerable Win 10 endpoints with a critical patch and setting conditional access controls to apps and services at the group or individual level. Automating alerts, notifications and remediation steps enable improved employee self-service to eliminate time spent on issues such as battery changes or answering helpdesk tickets that get in the way of employee productivity. With the decision engine, organizations can create rules to automate remediation across their entire environment including workflows with other third-party services like ServiceNow or Slack.

Workspace ONE Intelligence is now generally available worldwide and included in the new Workspace ONE Enterprise package.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...