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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 However, gathering this information is often a tedious manual process, frequently yielding inaccurate and outdated results.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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...