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The Rising Role of Security in Advanced IT Analytics

Dennis Drogseth

In two prior blogs I provided some highlights from EMA's Advanced IT Analytics (AIA) research earlier this year, and explained how AIA goes beyond being just a market. (I haven't changed my opinion there, by the way. Right now I'm using the term "landscape of innovation" for AIA, which many in the industry still call "IT Operations Analytics.") In that second blog, I also explained that AIA isn't just about operations, but rather it's a unifying investment that may well span all of IT and even support a growing number of business stakeholders.

As a quick refresher, the research was done in Q1 of this year, and we spoke to 250 respondents — 150 in North America and 100 in Europe (England, France and Germany). We targeted companies over 500 employees with fairly good spread between those over 20,000 employees and smaller businesses. Our leading verticals were finance and banking, high tech software, manufacturing and retail in that order. We tried not to legislate what our respondents thought AIA was or should be, although we did require high-volume, cross-domain (network, systems, applications, etc.) data collection from many different sources, as well as the application of some level of advanced heuristics. The goal was to find out what actual IT priorities were, not to prematurely force them into a box.

In this blog I'd like to highlight one very critical area of AIA that came out in my research: the growing role of security as an integrated requirement for performance, change and capacity management. The truth is, our EMA research did not approach security as a separate use case, but did include security options in questions regarding data source, triage, and other parameters. In fact only 6% of those participating indicated that security was their job description. This contrasted with 21% in operations planning and design and 10% in IT performance engineering.

Here's a look at some of our respondents' priorities. (Remember that we didn't require security roles or use case to do this research, but instead were focusing on performance, change and capacity management.)

Security led the charge for triage and diagnostics: Security came in first followed by what I'd expected to win — isolating whether the problem was in the application, server, network or database. Isolating infrastructure issues in the network came in third followed by isolating problems in provisioning applications. Security's high ranking surprised me, but when I checked earlier research from 2014, I saw that security (or security information and event management or SIEM) was already tied for first place with triage across the application infrastructure.

Security Information and Event Management also led as a data source: Once again security came in first place, this time followed by Internet of Things (IoT). This was an even bigger surprise given past history, as in 2014 the lead data source was, believe it or not, Excel spreadsheets. In fact, the trend in 2016 indicates much more sophisticated attention to data sources, with business process impacts and application transaction data (for technical and business performance) also topping the charts.

Security tied for first place in domain role support: Security tied, in fact, with systems management followed by application development, database and cloud architecture.

Security led in three of the four top AIA use cases directed at supporting the move to cloud: To be specific, the number one priority for AIA-enabled support for the move to public/private or hybrid cloud was improved network security. This was followed by hybrid cloud optimization, compliance and integrated security and performance. Finally, real-time service performance (the ostensible focus for our research) came in fifth. What this tells me is that the move to cloud though desirable is also a little scary — nothing new there. But what is new, at least to me, is security's growing role as an integrated part of AIA initiatives supporting performance and change.

The ascendance of security in core operations and even ITSM concerns is of interest to me even though I'm not the security analyst at EMA (that's David Monahan). Years ago, well before Dave joined, I worked with our security lead to promote joint research and other initiatives across security, performance and change management. But the reaction ten years ago was a lot of nods and no action. The industry just wasn't ready.

Now, it seems, things are changing and they are changing dramatically. Security, operations and even IT service management are becoming much more closely intertwined than in the past. The reasons for this are manifold and include the move to cloud, the pressures from our "digital age" on more cross-domain ways of working, and the need for managing change in a far more dynamic, less conflicted, and "risk free" (or its pragmatic equivalent) way.

One of the critical catalysts for this is in fact AIA. By bringing many multiple data sources together and applying advanced analytic techniques, AIA is becoming a powerful enabler for truly integrating security and service delivery — two worlds that still have different metrics, processes and cultures, but which are finally seeking to work together in a way that was unprecedented in the past.

For more information, view a video on this data and research.

Dennis Drogseth is VP at Enterprise Management Associates (EMA).

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 ...

The Rising Role of Security in Advanced IT Analytics

Dennis Drogseth

In two prior blogs I provided some highlights from EMA's Advanced IT Analytics (AIA) research earlier this year, and explained how AIA goes beyond being just a market. (I haven't changed my opinion there, by the way. Right now I'm using the term "landscape of innovation" for AIA, which many in the industry still call "IT Operations Analytics.") In that second blog, I also explained that AIA isn't just about operations, but rather it's a unifying investment that may well span all of IT and even support a growing number of business stakeholders.

As a quick refresher, the research was done in Q1 of this year, and we spoke to 250 respondents — 150 in North America and 100 in Europe (England, France and Germany). We targeted companies over 500 employees with fairly good spread between those over 20,000 employees and smaller businesses. Our leading verticals were finance and banking, high tech software, manufacturing and retail in that order. We tried not to legislate what our respondents thought AIA was or should be, although we did require high-volume, cross-domain (network, systems, applications, etc.) data collection from many different sources, as well as the application of some level of advanced heuristics. The goal was to find out what actual IT priorities were, not to prematurely force them into a box.

In this blog I'd like to highlight one very critical area of AIA that came out in my research: the growing role of security as an integrated requirement for performance, change and capacity management. The truth is, our EMA research did not approach security as a separate use case, but did include security options in questions regarding data source, triage, and other parameters. In fact only 6% of those participating indicated that security was their job description. This contrasted with 21% in operations planning and design and 10% in IT performance engineering.

Here's a look at some of our respondents' priorities. (Remember that we didn't require security roles or use case to do this research, but instead were focusing on performance, change and capacity management.)

Security led the charge for triage and diagnostics: Security came in first followed by what I'd expected to win — isolating whether the problem was in the application, server, network or database. Isolating infrastructure issues in the network came in third followed by isolating problems in provisioning applications. Security's high ranking surprised me, but when I checked earlier research from 2014, I saw that security (or security information and event management or SIEM) was already tied for first place with triage across the application infrastructure.

Security Information and Event Management also led as a data source: Once again security came in first place, this time followed by Internet of Things (IoT). This was an even bigger surprise given past history, as in 2014 the lead data source was, believe it or not, Excel spreadsheets. In fact, the trend in 2016 indicates much more sophisticated attention to data sources, with business process impacts and application transaction data (for technical and business performance) also topping the charts.

Security tied for first place in domain role support: Security tied, in fact, with systems management followed by application development, database and cloud architecture.

Security led in three of the four top AIA use cases directed at supporting the move to cloud: To be specific, the number one priority for AIA-enabled support for the move to public/private or hybrid cloud was improved network security. This was followed by hybrid cloud optimization, compliance and integrated security and performance. Finally, real-time service performance (the ostensible focus for our research) came in fifth. What this tells me is that the move to cloud though desirable is also a little scary — nothing new there. But what is new, at least to me, is security's growing role as an integrated part of AIA initiatives supporting performance and change.

The ascendance of security in core operations and even ITSM concerns is of interest to me even though I'm not the security analyst at EMA (that's David Monahan). Years ago, well before Dave joined, I worked with our security lead to promote joint research and other initiatives across security, performance and change management. But the reaction ten years ago was a lot of nods and no action. The industry just wasn't ready.

Now, it seems, things are changing and they are changing dramatically. Security, operations and even IT service management are becoming much more closely intertwined than in the past. The reasons for this are manifold and include the move to cloud, the pressures from our "digital age" on more cross-domain ways of working, and the need for managing change in a far more dynamic, less conflicted, and "risk free" (or its pragmatic equivalent) way.

One of the critical catalysts for this is in fact AIA. By bringing many multiple data sources together and applying advanced analytic techniques, AIA is becoming a powerful enabler for truly integrating security and service delivery — two worlds that still have different metrics, processes and cultures, but which are finally seeking to work together in a way that was unprecedented in the past.

For more information, view a video on this data and research.

Dennis Drogseth is VP at Enterprise Management Associates (EMA).

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 ...