Skip to main content

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

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 ...

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

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 ...