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Only 13% of Security Professionals Say User Experience Is Mission-Critical

When employees encounter tech friction or feel frustrated with the tools they are asked to use, they will find a workaround. In fact, one in two office workers admit to using personal devices to log into work networks, with 32% of them revealing their employers are unaware of this practice, according to Securing the Digital Employee Experience, a report from Ivanti.

Yet, just 13% of security professionals say user experience (UX) for end users is a mission-critical priority when adopting cybersecurity tech interventions. By focusing on UX in security measures, organizations can minimize the likelihood of employees bypassing established protocols and resorting to unsafe workarounds.

"Although harmless in the moment, employees typically opt for convenience and put security on the back burner," said Mike Riemer, Field CISO, Ivanti. "Companies should take steps to understand their employees' workplace behaviors and adopt security measures that reduce the temptation for employees to sidestep protocols and use unsafe workarounds. Strong security shouldn't come at the cost of user experience, as it is integral to maintaining both security and productivity."

Key findings from the report include the following:

With the rise of Gen AI, poor security hygiene will increase

When employees have unfettered access to Gen AI tools and other advanced technologies, it can introduce challenges with data privacy, compliance, cyber risks, and copyrighted materials. Ivanti's research shows that 81% of office workers report they have not been trained on Gen AI and 15% are using unsanctioned tools.

Companies aren't providing secure tools for in-office, remote and hybrid work

Whether half of your employees work remotely or just a small fraction do, there is still a profound need to ensure that the company supports all the ways employees work. Only 62% use a VPN or a zero-trust access solution to restrict network access and protect sensitive information, and only 57% use multi-factor authentication.

Security leaders are often excluded from DEX investment decisions

Digital employee experience (DEX)-informed security minimizes the need for employees to change their typical behaviors at work. Yet, only 38% of companies consult the CISO for input on DEX strategy, investments, and planning, despite the significant contributions DEX tools can make to security.

Methodology: Ivanti surveyed over 20,000 IT professionals, executive leaders, office workers and security professionals around the world to understand what organizations are doing to enable positive digital employee experience (DEX) and any barriers organizations face to deliver frictionless experiences.

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...

Only 13% of Security Professionals Say User Experience Is Mission-Critical

When employees encounter tech friction or feel frustrated with the tools they are asked to use, they will find a workaround. In fact, one in two office workers admit to using personal devices to log into work networks, with 32% of them revealing their employers are unaware of this practice, according to Securing the Digital Employee Experience, a report from Ivanti.

Yet, just 13% of security professionals say user experience (UX) for end users is a mission-critical priority when adopting cybersecurity tech interventions. By focusing on UX in security measures, organizations can minimize the likelihood of employees bypassing established protocols and resorting to unsafe workarounds.

"Although harmless in the moment, employees typically opt for convenience and put security on the back burner," said Mike Riemer, Field CISO, Ivanti. "Companies should take steps to understand their employees' workplace behaviors and adopt security measures that reduce the temptation for employees to sidestep protocols and use unsafe workarounds. Strong security shouldn't come at the cost of user experience, as it is integral to maintaining both security and productivity."

Key findings from the report include the following:

With the rise of Gen AI, poor security hygiene will increase

When employees have unfettered access to Gen AI tools and other advanced technologies, it can introduce challenges with data privacy, compliance, cyber risks, and copyrighted materials. Ivanti's research shows that 81% of office workers report they have not been trained on Gen AI and 15% are using unsanctioned tools.

Companies aren't providing secure tools for in-office, remote and hybrid work

Whether half of your employees work remotely or just a small fraction do, there is still a profound need to ensure that the company supports all the ways employees work. Only 62% use a VPN or a zero-trust access solution to restrict network access and protect sensitive information, and only 57% use multi-factor authentication.

Security leaders are often excluded from DEX investment decisions

Digital employee experience (DEX)-informed security minimizes the need for employees to change their typical behaviors at work. Yet, only 38% of companies consult the CISO for input on DEX strategy, investments, and planning, despite the significant contributions DEX tools can make to security.

Methodology: Ivanti surveyed over 20,000 IT professionals, executive leaders, office workers and security professionals around the world to understand what organizations are doing to enable positive digital employee experience (DEX) and any barriers organizations face to deliver frictionless experiences.

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...