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Automox Surfaces Hundreds of Device Attributes to Accelerate Cross-Platform Visibility and Action

Automox to Launch Hundreds of New Device Data Points for Cross-Platform Visibility This Summer

Automox announced a significant enhancement to its platform with the launch of over 800+ new device datapoints. 

Coming this summer, the powerful capability will provide IT teams with unprecedented visibility into their entire device ecosystem, empowering them to see detailed information on system health, hardware and software inventory, networking configurations, security and certificate details, running services and processes, as well as user accounts.

Security, performance, and compliance hinge on the ability to access, interpret, and continuously monitor detailed device information. However, gathering this information is often a tedious manual process, frequently yielding inaccurate and outdated results. Automox’s enhanced Device Details addresses this challenge head-on, delivering comprehensive device and software inventory data in a single, unified platform with:

  • Comprehensive Device Inventory: Automox will automatically scan Windows, macOS, and Linux devices for over 300 unique data points per operating system. This includes detailed information on system health, hardware and software inventory, networking configurations, security and certificate details, running services and processes, as well as user accounts.
  • Deep Device Insights: Administrators can easily access hundreds of data points for each device through the intuitive Device Details page. This granular visibility allows for rapid troubleshooting, efficient reporting, and informed decision-making.

“IT teams are constantly bombarded with questions about their environment – from leadership inquiries about device health to troubleshooting complex technical issues,” said Jason Kikta, CISO and SVP of Product at Automox. “The new Device Details data empowers IT professionals to instantly access the information they need, eliminating the need for manual data collection and enabling them to proactively address potential problems before they impact the business.”

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Automox Surfaces Hundreds of Device Attributes to Accelerate Cross-Platform Visibility and Action

Automox to Launch Hundreds of New Device Data Points for Cross-Platform Visibility This Summer

Automox announced a significant enhancement to its platform with the launch of over 800+ new device datapoints. 

Coming this summer, the powerful capability will provide IT teams with unprecedented visibility into their entire device ecosystem, empowering them to see detailed information on system health, hardware and software inventory, networking configurations, security and certificate details, running services and processes, as well as user accounts.

Security, performance, and compliance hinge on the ability to access, interpret, and continuously monitor detailed device information. However, gathering this information is often a tedious manual process, frequently yielding inaccurate and outdated results. Automox’s enhanced Device Details addresses this challenge head-on, delivering comprehensive device and software inventory data in a single, unified platform with:

  • Comprehensive Device Inventory: Automox will automatically scan Windows, macOS, and Linux devices for over 300 unique data points per operating system. This includes detailed information on system health, hardware and software inventory, networking configurations, security and certificate details, running services and processes, as well as user accounts.
  • Deep Device Insights: Administrators can easily access hundreds of data points for each device through the intuitive Device Details page. This granular visibility allows for rapid troubleshooting, efficient reporting, and informed decision-making.

“IT teams are constantly bombarded with questions about their environment – from leadership inquiries about device health to troubleshooting complex technical issues,” said Jason Kikta, CISO and SVP of Product at Automox. “The new Device Details data empowers IT professionals to instantly access the information they need, eliminating the need for manual data collection and enabling them to proactively address potential problems before they impact the business.”

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Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...