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Automox Equips IT Teams to Act with High-Impact Visibility and Reporting

New capabilities eliminate manual reporting workflows and deliver real-time operational intelligence across endpoint management

Automox announced the launch of its comprehensive Visibility and Reporting enhancements, transforming how IT teams track automation success, measure compliance, and maintain endpoint health. 

The new capabilities eliminate disconnected dashboards and manual exports, delivering real-time operational intelligence that helps IT teams make faster decisions with confidence.

IT teams have more data than ever, but still lack actionable answers. Manual exports and disconnected tools slow down patch tracking, policy monitoring, and compliance checks. Automox’s new Visibility and Reporting platform fixes that by turning raw data into role-based, automation-ready intelligence.

“IT teams shouldn’t have to be data scientists to understand their security posture,” said Justin Talerico, CEO of Automox. “Our new Visibility and Reporting capabilities give teams the operational confidence they need to act fast, communicate clearly, and prove their impact — all without the manual overhead that slows teams down.”

The platform includes several breakthrough capabilities launching throughout 2025:

  • Operational and Compliance Visibility: Teams gain audit-ready visibility into patch coverage, KEV mitigation, and remediation trends. Monitor comprehensive policy execution across patch, software, and Worklet automation. Track device counts, OS distribution, licensing utilization, and environment growth – all from one place.
  • Device-Level Troubleshooting: Spot device-level blockers like reboot requirements, disconnected agents, failed scans, or low disk space that stall automation. Enhanced device exploration capabilities will provide expanded inventory fields, advanced filtering, and rapid diagnostics to resolve issues faster.
  • Customizable Reporting and Dashboards: IT teams can start with hundreds of prebuilt reports and will soon be able to tailor them to address unique organizational requirements while building personalized operational views with role-based filtering, resizable widgets, and seamless export capabilities that adapt to specific workflows.
  • Automated Communication: Skip the manual work. Schedule reports to automatically reach executives, compliance teams, and operational stakeholders – no copy-paste or manual exports required.

Unlike traditional endpoint management solutions that require business intelligence tools or complex integrations, Automox’s Visibility and Reporting capabilities are fully embedded within the platform, providing unified insight without additional infrastructure or training requirements.

“We’re not giving customers more data; we’re giving them faster answers,” says Talerico. “With real-time reporting embedded inside Automox, you know where you stand at all times, across patching, automation, and device health — no BI tools, no exports, no spreadsheets.”

The Visibility and Reporting platform builds on Automox’s proven track record of delivering measurable IT efficiency gains. According to an independent IDC study, Automox customers achieve 65% less time spent patching, 96% more patches automated, 65% fewer patching errors, and 49% faster issue resolution.

The new visibility and reporting capabilities will serve IT teams with executive reporting, security administrators with compliance insights, helpdesk teams with faster troubleshooting, and managed service providers with cross-tenant visibility, delivering role-specific value across organizational structures.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Automox Equips IT Teams to Act with High-Impact Visibility and Reporting

New capabilities eliminate manual reporting workflows and deliver real-time operational intelligence across endpoint management

Automox announced the launch of its comprehensive Visibility and Reporting enhancements, transforming how IT teams track automation success, measure compliance, and maintain endpoint health. 

The new capabilities eliminate disconnected dashboards and manual exports, delivering real-time operational intelligence that helps IT teams make faster decisions with confidence.

IT teams have more data than ever, but still lack actionable answers. Manual exports and disconnected tools slow down patch tracking, policy monitoring, and compliance checks. Automox’s new Visibility and Reporting platform fixes that by turning raw data into role-based, automation-ready intelligence.

“IT teams shouldn’t have to be data scientists to understand their security posture,” said Justin Talerico, CEO of Automox. “Our new Visibility and Reporting capabilities give teams the operational confidence they need to act fast, communicate clearly, and prove their impact — all without the manual overhead that slows teams down.”

The platform includes several breakthrough capabilities launching throughout 2025:

  • Operational and Compliance Visibility: Teams gain audit-ready visibility into patch coverage, KEV mitigation, and remediation trends. Monitor comprehensive policy execution across patch, software, and Worklet automation. Track device counts, OS distribution, licensing utilization, and environment growth – all from one place.
  • Device-Level Troubleshooting: Spot device-level blockers like reboot requirements, disconnected agents, failed scans, or low disk space that stall automation. Enhanced device exploration capabilities will provide expanded inventory fields, advanced filtering, and rapid diagnostics to resolve issues faster.
  • Customizable Reporting and Dashboards: IT teams can start with hundreds of prebuilt reports and will soon be able to tailor them to address unique organizational requirements while building personalized operational views with role-based filtering, resizable widgets, and seamless export capabilities that adapt to specific workflows.
  • Automated Communication: Skip the manual work. Schedule reports to automatically reach executives, compliance teams, and operational stakeholders – no copy-paste or manual exports required.

Unlike traditional endpoint management solutions that require business intelligence tools or complex integrations, Automox’s Visibility and Reporting capabilities are fully embedded within the platform, providing unified insight without additional infrastructure or training requirements.

“We’re not giving customers more data; we’re giving them faster answers,” says Talerico. “With real-time reporting embedded inside Automox, you know where you stand at all times, across patching, automation, and device health — no BI tools, no exports, no spreadsheets.”

The Visibility and Reporting platform builds on Automox’s proven track record of delivering measurable IT efficiency gains. According to an independent IDC study, Automox customers achieve 65% less time spent patching, 96% more patches automated, 65% fewer patching errors, and 49% faster issue resolution.

The new visibility and reporting capabilities will serve IT teams with executive reporting, security administrators with compliance insights, helpdesk teams with faster troubleshooting, and managed service providers with cross-tenant visibility, delivering role-specific value across organizational structures.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...