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AI, Security, and Sustainability Are Major Drivers for IT Modernization

The use of hybrid multicloud models is forecasted to double over the next one to three years as IT decision makers are facing new pressures to modernize IT infrastructures because of drivers like AI, security, and sustainability, according to the Enterprise Cloud Index (ECI) report from Nutanix.


Source: Nutanix

As organizations continue to grapple with the complexities of moving applications and data across environments, the report highlighted the growing importance of hybrid multicloud infrastructure. The report found that security and innovation were the top drivers for moving applications from one environment to another over the past year. As AI takes center stage for businesses, respondents identified increasing investments to support AI strategy as their #1 priority, followed closely by investment in IT modernization.

"Whether it be because of AI, sustainability, or security imperatives, IT organizations are facing ever-increasing pressure to modernize their IT infrastructure quickly," said Lee Caswell, SVP, Product and Solutions Marketing at Nutanix. "80% of ECI respondents are planning to invest in IT modernization, with 85% planning to increase their investments specifically to support AI. What this year's ECI reveals is that organizations need to support the technologies of tomorrow by future proofing their IT infrastructure today. Hybrid multicloud continues to emerge as the infrastructure standard of choice because of the flexibility it provides to support traditional VM and modern containerized applications and movement between clouds and on-prem."

Key findings from this year's report include:

Hybrid multicloud infrastructure deployments will become an infrastructure standard

90% of ECI respondents are taking a "cloud smart" approach to their infrastructure strategy — leveraging the best environment (e.g., data center, public cloud, edge) for each of their applications. Given the pervasiveness of this approach, it is no wonder that hybrid and multicloud environments have become the de facto infrastructure standard. Furthermore, over 80% of organizations believe hybrid IT environments are most beneficial to their ability to manage applications and data. Most importantly, this is now becoming an executive priority, with nearly half of respondents noting that implementing hybrid IT is a top priority for their CIO.

Ransomware protection is top of mind

Ransomware protection is top of mind for both CXOs and practitioners but most organizations continue to struggle in the wake of attacks. Ransomware and malware attacks will remain existential threats to modern enterprises, with the cat-and-mouse game between malicious actors and enterprise security professionals set to continue throughout 2024. Yet, data protection and recovery remain a challenge, as 71% of respondents who experienced a ransomware attack reported taking days or even weeks to restore full operations. To help address this, 78% of organizations say they plan to increase investments in ransomware protection solutions throughout this year.

Application and data movement remains a challenge

As organizations seek equilibrium driven by security and innovation, application and data movement remains a complex challenge. Enterprise workloads — including their applications and data — often find their way into the IT environment which best suits their needs, whether that environment is an on-premises data center, the public cloud, a smaller edge location, or a mix of all three.

This diversity of application placement is part of the reason why 95% of respondents say they moved applications from one environment to another over the past year, with security and innovation as the top drivers for this movement. Enterprises should expect application and data movement to remain constant, and plan infrastructure choices accordingly — emphasizing flexibility and visibility. Today, organizations face significant roadblocks when it comes to executing complex application migrations, with 35% of respondents saying workload and application migration is a significant challenge given their current IT infrastructure.

It teams are starting sustainability programs

IT teams aren't just planning their sustainability programs, they are actively implementing them starting with IT modernization. 88% of respondents agree that sustainability is a priority for their organization. However, unlike in the previous report where action was limited, many organizations indicate they are already taking active steps to implement sustainability initiatives, with the most common being modernizing IT infrastructure. This is a fascinating result, and one that shows the direct impact of IT infrastructure on sustainability.

Infrastructure modernization is becoming an imperative

Infrastructure modernization is becoming an imperative, driven by AI, modern applications and data growth. Respondents identified increased investment to support AI strategy as their #1 priority, followed closely by investment in IT modernization. Furthermore, 37% of respondents indicate running AI applications on their current IT infrastructure will be a "significant" challenge.

In order to mitigate and overcome this challenge, organizations are prioritizing IT modernization and edge infrastructure deployments, which can facilitate faster processing and access to data. This, in turn, can help improve their ability to link data from multiple environments to give better visibility into where data resides across their sprawling ecosystems

Methodology: Vanson Bourne conducted research on behalf of Nutanix, surveying 1,500 IT and DevOps/Platform Engineering decision-makers around the world in December 2023. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region.

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

AI, Security, and Sustainability Are Major Drivers for IT Modernization

The use of hybrid multicloud models is forecasted to double over the next one to three years as IT decision makers are facing new pressures to modernize IT infrastructures because of drivers like AI, security, and sustainability, according to the Enterprise Cloud Index (ECI) report from Nutanix.


Source: Nutanix

As organizations continue to grapple with the complexities of moving applications and data across environments, the report highlighted the growing importance of hybrid multicloud infrastructure. The report found that security and innovation were the top drivers for moving applications from one environment to another over the past year. As AI takes center stage for businesses, respondents identified increasing investments to support AI strategy as their #1 priority, followed closely by investment in IT modernization.

"Whether it be because of AI, sustainability, or security imperatives, IT organizations are facing ever-increasing pressure to modernize their IT infrastructure quickly," said Lee Caswell, SVP, Product and Solutions Marketing at Nutanix. "80% of ECI respondents are planning to invest in IT modernization, with 85% planning to increase their investments specifically to support AI. What this year's ECI reveals is that organizations need to support the technologies of tomorrow by future proofing their IT infrastructure today. Hybrid multicloud continues to emerge as the infrastructure standard of choice because of the flexibility it provides to support traditional VM and modern containerized applications and movement between clouds and on-prem."

Key findings from this year's report include:

Hybrid multicloud infrastructure deployments will become an infrastructure standard

90% of ECI respondents are taking a "cloud smart" approach to their infrastructure strategy — leveraging the best environment (e.g., data center, public cloud, edge) for each of their applications. Given the pervasiveness of this approach, it is no wonder that hybrid and multicloud environments have become the de facto infrastructure standard. Furthermore, over 80% of organizations believe hybrid IT environments are most beneficial to their ability to manage applications and data. Most importantly, this is now becoming an executive priority, with nearly half of respondents noting that implementing hybrid IT is a top priority for their CIO.

Ransomware protection is top of mind

Ransomware protection is top of mind for both CXOs and practitioners but most organizations continue to struggle in the wake of attacks. Ransomware and malware attacks will remain existential threats to modern enterprises, with the cat-and-mouse game between malicious actors and enterprise security professionals set to continue throughout 2024. Yet, data protection and recovery remain a challenge, as 71% of respondents who experienced a ransomware attack reported taking days or even weeks to restore full operations. To help address this, 78% of organizations say they plan to increase investments in ransomware protection solutions throughout this year.

Application and data movement remains a challenge

As organizations seek equilibrium driven by security and innovation, application and data movement remains a complex challenge. Enterprise workloads — including their applications and data — often find their way into the IT environment which best suits their needs, whether that environment is an on-premises data center, the public cloud, a smaller edge location, or a mix of all three.

This diversity of application placement is part of the reason why 95% of respondents say they moved applications from one environment to another over the past year, with security and innovation as the top drivers for this movement. Enterprises should expect application and data movement to remain constant, and plan infrastructure choices accordingly — emphasizing flexibility and visibility. Today, organizations face significant roadblocks when it comes to executing complex application migrations, with 35% of respondents saying workload and application migration is a significant challenge given their current IT infrastructure.

It teams are starting sustainability programs

IT teams aren't just planning their sustainability programs, they are actively implementing them starting with IT modernization. 88% of respondents agree that sustainability is a priority for their organization. However, unlike in the previous report where action was limited, many organizations indicate they are already taking active steps to implement sustainability initiatives, with the most common being modernizing IT infrastructure. This is a fascinating result, and one that shows the direct impact of IT infrastructure on sustainability.

Infrastructure modernization is becoming an imperative

Infrastructure modernization is becoming an imperative, driven by AI, modern applications and data growth. Respondents identified increased investment to support AI strategy as their #1 priority, followed closely by investment in IT modernization. Furthermore, 37% of respondents indicate running AI applications on their current IT infrastructure will be a "significant" challenge.

In order to mitigate and overcome this challenge, organizations are prioritizing IT modernization and edge infrastructure deployments, which can facilitate faster processing and access to data. This, in turn, can help improve their ability to link data from multiple environments to give better visibility into where data resides across their sprawling ecosystems

Methodology: Vanson Bourne conducted research on behalf of Nutanix, surveying 1,500 IT and DevOps/Platform Engineering decision-makers around the world in December 2023. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region.

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...