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Granular Control Meets Endpoint Security in Automox's Custom Roles Debut

Automox announced the launch of Custom Roles, a powerful enhancement to its Role-Based Access Control (RBAC) capabilities.

Security breaches and insider threats grow more sophisticated by the day. The principle of least privilege has emerged as a critical strategy to reduce cyber risk by limiting access to the minimum needed to get the job done. Custom Roles leverage the principle of least privilege to provide limitless customization and control over user permissions, equipping IT admins to manage risk with ease.

"Custom Roles introduces tremendous flexibility to least-privilege administration, reinforcing a stronger security posture for organizations large and small," said Jason Kikta, CISO/SVP of Product at Automox. "By tightly scoping access and permissions, IT teams can better mitigate risks while maximizing visibility via an endpoint management solution designed with usability and security at its core."

Customizable Permissions for Every Feature

Custom Roles allow administrators to define permissions with granular precision. IT leaders can configure read, write, edit, and delete access for every feature within Automox, ensuring all permissions match organizational policies.

Dynamic Role Assignment

Global Administrators can assign multiple roles to a single user so access can be tailored not only to the individual but also to the specific organizational groups or contexts where they operate.

Scalable Integration of Existing and Custom Roles

Alongside seven out-of-the-box IT roles, administrators can create as many new roles as needed to reflect an organization’s unique requirements. The flexibility to integrate pre-defined and custom roles enhances operational agility without sacrificing control or compliance.

The launch of Custom Roles represents a pivotal step towards dynamic and context-aware least-privilege administration. "As cyber threats grow in sophistication, traditional access management practices face limitations," added Kikta. "With Custom Roles, Automox is laying the foundation for automated, context-aware access control that secures and streamlines IT operations."

Custom Roles equips organizations with an enterprise-grade tool to increase security confidence while simplifying role management at scale. By enabling precise permissions for endpoint management capabilities across Windows, macOS, and Linux devices, Automox continues to set the standard for modern IT operations.

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Granular Control Meets Endpoint Security in Automox's Custom Roles Debut

Automox announced the launch of Custom Roles, a powerful enhancement to its Role-Based Access Control (RBAC) capabilities.

Security breaches and insider threats grow more sophisticated by the day. The principle of least privilege has emerged as a critical strategy to reduce cyber risk by limiting access to the minimum needed to get the job done. Custom Roles leverage the principle of least privilege to provide limitless customization and control over user permissions, equipping IT admins to manage risk with ease.

"Custom Roles introduces tremendous flexibility to least-privilege administration, reinforcing a stronger security posture for organizations large and small," said Jason Kikta, CISO/SVP of Product at Automox. "By tightly scoping access and permissions, IT teams can better mitigate risks while maximizing visibility via an endpoint management solution designed with usability and security at its core."

Customizable Permissions for Every Feature

Custom Roles allow administrators to define permissions with granular precision. IT leaders can configure read, write, edit, and delete access for every feature within Automox, ensuring all permissions match organizational policies.

Dynamic Role Assignment

Global Administrators can assign multiple roles to a single user so access can be tailored not only to the individual but also to the specific organizational groups or contexts where they operate.

Scalable Integration of Existing and Custom Roles

Alongside seven out-of-the-box IT roles, administrators can create as many new roles as needed to reflect an organization’s unique requirements. The flexibility to integrate pre-defined and custom roles enhances operational agility without sacrificing control or compliance.

The launch of Custom Roles represents a pivotal step towards dynamic and context-aware least-privilege administration. "As cyber threats grow in sophistication, traditional access management practices face limitations," added Kikta. "With Custom Roles, Automox is laying the foundation for automated, context-aware access control that secures and streamlines IT operations."

Custom Roles equips organizations with an enterprise-grade tool to increase security confidence while simplifying role management at scale. By enabling precise permissions for endpoint management capabilities across Windows, macOS, and Linux devices, Automox continues to set the standard for modern IT operations.

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...