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The Digital War Room Isn't Dead - But It Is Changing

Vincent Geffray

Are digital war rooms obsolete because they're just a place for managers of siloed business units to find someone else to blame for a critical IT event such as a security breach?

Far from it. Enterprises find these emergency response teams just as important, if not more important, than ever. The more formal and established the war room, the more effective it is likely to be. And those war rooms that involve more people, and more functions such as developers, tend to be more effective.

Those are some of the findings from an Enterprise Management Associates (EMA) survey of 272 respondents in North America and Europe. Its aim was not only to understand the state of the digital war room, but how it is changing – and needs to change – to resolve critical IT incidents more quickly.

What Works

EMA looked at how emergency response teams – war rooms – are formed and optimized to glean insights from across the organization before IT service interruptions threaten the health of an enterprise.

Among their findings:

■ 50 percent of respondents said that "effective war room capabilities are becoming more important in the digital era;" 43 percent saw their importance as unchanged; and only six percent saw them becoming less important.

■ Three out of four respondents feel their war rooms have been transformed through automation, analytics, or both.

■ In a move away from the siloed war rooms of the past, more than half the respondents see a trend towards involving more people in the process – a move that aligns well with improved war room effectiveness.

■ Seven out of ten said there was a single organizational owner for their war rooms, which also correlated strongly with both overall war room effectiveness and more effective team optimization.

■ But organizations are still taking too long to respond to IT incidents, reporting an average time of about 90 minutes just to assemble an effective team, and a total time to resolution of about six hours.

■ When asked which technology was most valuable in identifying relevant stakeholders and resolvers, respondents scored an automated IT alerting system the highest at 48 percent.

Among the specialists more likely to be found in war rooms these days are application developers. 37 percent of respondents said application developers are becoming more involved in war room decisions. This only makes sense, as those with the most complete knowledge of an application's structure can provide unique insights into the causes, and cures, of service interruptions. EMA, in fact, found "a strong alignment between development becoming more involved and (organizations that) were extremely effective in optimizing war room outcomes."

Overall, the research shows the number of people in the war room during major incidents keeps growing for 52 percent of organizations, and now stands at an average of 15 people.

Another significant positive trend is that, for nearly half of respondents, war rooms are becoming more formal and established, which the research shows strongly correlates with more effective team optimization and incident resolution.

Next Steps

On the down side, the EMA report also found a significant number of organizations where inconsistent or inaccurate data, fragmented data, reactive versus proactive insights, lack of automation, complexities due to cloud-related resources, and cultural/political issues within IT, still held back war room effectiveness.

"The digital war room proved to be far more proactive and engaging than classical ‘war-room' caricatures would have it based on our research and dialogs," said Dennis Nils Drogseth, VP, Enterprise Management Associates. "It can become a unifying web across IT for not only serious incident resolution, but also a factor in supporting cloud-related, SecOps and DevOps initiatives. However, to succeed, the digital war room will increasingly depend on advanced levels of automation, relevant intelligence and analytics, and leadership that truly supports cross-silo awareness, dialog and effectiveness."

As IT becomes even more critical to enterprises, and their infrastructure (on site and in the cloud) become more complex, war rooms are here to stay. The challenge is to adapt them to an age of cloud and digital applications.

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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 ...

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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 ...

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The Digital War Room Isn't Dead - But It Is Changing

Vincent Geffray

Are digital war rooms obsolete because they're just a place for managers of siloed business units to find someone else to blame for a critical IT event such as a security breach?

Far from it. Enterprises find these emergency response teams just as important, if not more important, than ever. The more formal and established the war room, the more effective it is likely to be. And those war rooms that involve more people, and more functions such as developers, tend to be more effective.

Those are some of the findings from an Enterprise Management Associates (EMA) survey of 272 respondents in North America and Europe. Its aim was not only to understand the state of the digital war room, but how it is changing – and needs to change – to resolve critical IT incidents more quickly.

What Works

EMA looked at how emergency response teams – war rooms – are formed and optimized to glean insights from across the organization before IT service interruptions threaten the health of an enterprise.

Among their findings:

■ 50 percent of respondents said that "effective war room capabilities are becoming more important in the digital era;" 43 percent saw their importance as unchanged; and only six percent saw them becoming less important.

■ Three out of four respondents feel their war rooms have been transformed through automation, analytics, or both.

■ In a move away from the siloed war rooms of the past, more than half the respondents see a trend towards involving more people in the process – a move that aligns well with improved war room effectiveness.

■ Seven out of ten said there was a single organizational owner for their war rooms, which also correlated strongly with both overall war room effectiveness and more effective team optimization.

■ But organizations are still taking too long to respond to IT incidents, reporting an average time of about 90 minutes just to assemble an effective team, and a total time to resolution of about six hours.

■ When asked which technology was most valuable in identifying relevant stakeholders and resolvers, respondents scored an automated IT alerting system the highest at 48 percent.

Among the specialists more likely to be found in war rooms these days are application developers. 37 percent of respondents said application developers are becoming more involved in war room decisions. This only makes sense, as those with the most complete knowledge of an application's structure can provide unique insights into the causes, and cures, of service interruptions. EMA, in fact, found "a strong alignment between development becoming more involved and (organizations that) were extremely effective in optimizing war room outcomes."

Overall, the research shows the number of people in the war room during major incidents keeps growing for 52 percent of organizations, and now stands at an average of 15 people.

Another significant positive trend is that, for nearly half of respondents, war rooms are becoming more formal and established, which the research shows strongly correlates with more effective team optimization and incident resolution.

Next Steps

On the down side, the EMA report also found a significant number of organizations where inconsistent or inaccurate data, fragmented data, reactive versus proactive insights, lack of automation, complexities due to cloud-related resources, and cultural/political issues within IT, still held back war room effectiveness.

"The digital war room proved to be far more proactive and engaging than classical ‘war-room' caricatures would have it based on our research and dialogs," said Dennis Nils Drogseth, VP, Enterprise Management Associates. "It can become a unifying web across IT for not only serious incident resolution, but also a factor in supporting cloud-related, SecOps and DevOps initiatives. However, to succeed, the digital war room will increasingly depend on advanced levels of automation, relevant intelligence and analytics, and leadership that truly supports cross-silo awareness, dialog and effectiveness."

As IT becomes even more critical to enterprises, and their infrastructure (on site and in the cloud) become more complex, war rooms are here to stay. The challenge is to adapt them to an age of cloud and digital applications.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.