Skip to main content

Secure UX Strategy for CEOs and CFOs

Gabriel Lowy

CEOs are usually externally focused. They meet with customers and speak at conferences to drive business growth. Conversely, CFOs are more internally focused. They look for process improvements to generate cost efficiencies and manage risks.

CEOs and CFOs like to talk about digital transformation. It follows then that secure user experience (UX) – for both customers and employees – would resonate with each of them.

Both C-levels are well aware of concepts such as big data and cloud. They have some idea about how these and related technologies might help their company achieve business objectives. In fact, it hasn't been uncommon in recent years for CEOs to ask their CIOs, "What's our big data strategy?" or "What's our cloud strategy?"

But when has a CEO asked their CIO, "What's our UX strategy?"? Probably never. Because they expect that applications, the network, and the underlying infrastructure will work – even if some of these systems are not under the CIO's purview.

The increased complexity of new computing architectures coupled with new application development methodologies – especially in the face of time-to-market and security threat pressures – should make secure UX the first strategic decision for CEOs and CFOs on the path to digital transformation.

Truth or Consequences

The principle purpose of a unified network, application, and infrastructure performance management (NAIPM) platform is to detect and diagnose anomalies so that IT teams can assure uptime and service-level commitments. Data collected by a NAIPM platform can also be used to detect breaches and position the company for faster incident response. In this capacity, the behavioral intelligence provided by a secure UX platform not only helps improve operational performance, but it also serves as an early warning system.

In language that CEOs and CFOs can understand, it's about using IT operations metrics to facilitate ROI (return on investment) and risk management objectives for the business. They will certainly appreciate the undeniable correlation between secure UX and financial outcomes and market valuation (public or private).

If user experience sucks – and the user is a customer – the company's revenues are negatively impacted.

Quite simply, if user experience sucks – and the user is a customer – the company's revenues are negatively impacted. Customer satisfaction plummets and loyalty follows. Brand reputation is tarnished. These cut right to the heart of the CEO's growth strategy.

If the user is an employee, engagement suffers, killing productivity and the ROI on computing resources. Adherence with GRC (governance, risk, compliance) requirements becomes challenged. Recruitment and retention may also suffer, driving up costs. These all undermine the CFO's initiatives.

If the user is a supply chain partner, the cost of materials or distribution could rise. Relationships could suffer. No one wants exposure to a partner with poor UX or security vulnerabilities that could infect their own systems.

Finally, if the user is a machine – an increasing likelihood in the IoT (Internet of Things) era – the absence of secure UX could have catastrophic results. Any number of accidents or breaches can occur with consumer products or services ranging from home monitoring devices to autonomous cars, or with industrial equipment to transmission pipelines. The potential damage to the company can far exceed lost revenue, fines for compliance violations, or lawsuits. They can put a company out of business.

Getting the Buy-In

Armed with the intelligence gained from such a unified platform, the CIO can appeal to the priorities of both the CEO and CFO. The company cannot capitalize on the benefits of big data analytics or cloud services if the IT team does not have visibility into the UX of these apps – regardless of where they reside. An inability to rapidly detect anomalies and respond to incidents can expose the company to undue risks, particularly in hybrid computing environments.

These all impede successful digital transformation. It is why a secure UX strategy should come first.

Many vendors in these consolidating spaces don't capitalize on this opportunity. Marketing and sales teams churn out lots of jargon and misinformation about capabilities and competitors (a.k.a. content) that only serve to confuse customers. This confusion raises more questions and objections that elongate sales cycles and hurt close rates.

Instead, vendors should appeal to the strategic priorities of CEOs and CFOs. They must educate, demonstrate and validate to CIOs through tangible use cases, PoCs (proof of concepts) and ROI/TCO (total cost of ownership) analyses.

I've suggested in the past that next to database, no software is more strategic to organizations than a secure UX platform. Never has it been more critical for CEOs and CFOs to understand this – and buy into it.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Secure UX Strategy for CEOs and CFOs

Gabriel Lowy

CEOs are usually externally focused. They meet with customers and speak at conferences to drive business growth. Conversely, CFOs are more internally focused. They look for process improvements to generate cost efficiencies and manage risks.

CEOs and CFOs like to talk about digital transformation. It follows then that secure user experience (UX) – for both customers and employees – would resonate with each of them.

Both C-levels are well aware of concepts such as big data and cloud. They have some idea about how these and related technologies might help their company achieve business objectives. In fact, it hasn't been uncommon in recent years for CEOs to ask their CIOs, "What's our big data strategy?" or "What's our cloud strategy?"

But when has a CEO asked their CIO, "What's our UX strategy?"? Probably never. Because they expect that applications, the network, and the underlying infrastructure will work – even if some of these systems are not under the CIO's purview.

The increased complexity of new computing architectures coupled with new application development methodologies – especially in the face of time-to-market and security threat pressures – should make secure UX the first strategic decision for CEOs and CFOs on the path to digital transformation.

Truth or Consequences

The principle purpose of a unified network, application, and infrastructure performance management (NAIPM) platform is to detect and diagnose anomalies so that IT teams can assure uptime and service-level commitments. Data collected by a NAIPM platform can also be used to detect breaches and position the company for faster incident response. In this capacity, the behavioral intelligence provided by a secure UX platform not only helps improve operational performance, but it also serves as an early warning system.

In language that CEOs and CFOs can understand, it's about using IT operations metrics to facilitate ROI (return on investment) and risk management objectives for the business. They will certainly appreciate the undeniable correlation between secure UX and financial outcomes and market valuation (public or private).

If user experience sucks – and the user is a customer – the company's revenues are negatively impacted.

Quite simply, if user experience sucks – and the user is a customer – the company's revenues are negatively impacted. Customer satisfaction plummets and loyalty follows. Brand reputation is tarnished. These cut right to the heart of the CEO's growth strategy.

If the user is an employee, engagement suffers, killing productivity and the ROI on computing resources. Adherence with GRC (governance, risk, compliance) requirements becomes challenged. Recruitment and retention may also suffer, driving up costs. These all undermine the CFO's initiatives.

If the user is a supply chain partner, the cost of materials or distribution could rise. Relationships could suffer. No one wants exposure to a partner with poor UX or security vulnerabilities that could infect their own systems.

Finally, if the user is a machine – an increasing likelihood in the IoT (Internet of Things) era – the absence of secure UX could have catastrophic results. Any number of accidents or breaches can occur with consumer products or services ranging from home monitoring devices to autonomous cars, or with industrial equipment to transmission pipelines. The potential damage to the company can far exceed lost revenue, fines for compliance violations, or lawsuits. They can put a company out of business.

Getting the Buy-In

Armed with the intelligence gained from such a unified platform, the CIO can appeal to the priorities of both the CEO and CFO. The company cannot capitalize on the benefits of big data analytics or cloud services if the IT team does not have visibility into the UX of these apps – regardless of where they reside. An inability to rapidly detect anomalies and respond to incidents can expose the company to undue risks, particularly in hybrid computing environments.

These all impede successful digital transformation. It is why a secure UX strategy should come first.

Many vendors in these consolidating spaces don't capitalize on this opportunity. Marketing and sales teams churn out lots of jargon and misinformation about capabilities and competitors (a.k.a. content) that only serve to confuse customers. This confusion raises more questions and objections that elongate sales cycles and hurt close rates.

Instead, vendors should appeal to the strategic priorities of CEOs and CFOs. They must educate, demonstrate and validate to CIOs through tangible use cases, PoCs (proof of concepts) and ROI/TCO (total cost of ownership) analyses.

I've suggested in the past that next to database, no software is more strategic to organizations than a secure UX platform. Never has it been more critical for CEOs and CFOs to understand this – and buy into it.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...