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Unified Data Sources Deliver Faster MTTD and Shorter MTTR

Reliance on packet capture to improve mean times to detection (MTTD) and resolution (MTTR) is likely to increase in 79% of enterprise organizations this year, according to the 2025/2026 State of the Network study by VIAVI Solutions, in partnership with Enterprise Strategy Group, now part of Omdia.

The study reveals how IT network and security teams are evolving to meet the demands of hybrid infrastructure, rising cloud complexity, and increasing pressure to detect and resolve issues faster. Based on insights from 750 global professionals, it highlights a clear shift toward deeper network observability, renewed reliance on packet capture, growing cross-functional collaboration in cloud monitoring, and the accelerating convergence of network operations (NetOps) and security operations (SecOps).

The study shows that organizations with strong packet capture experienced notable improvements to MTTD, with double the number of respondents reporting a significantly shorter MTTD rate over the past year compared to those lacking strong packet capture capability.

In addition, respondents with good packet capture abilities were four times more likely to resolve issues in under an hour, and almost 35% more likely to resolve them in under three hours.

"As environments grow more distributed and threats become more dynamic, the path forward is clear. Unified visibility, smarter tooling, and operational alignment are no longer optional — they're essential," said Chris Labac, VP and GM, Network Performance and Threat Solutions, VIAVI. "Packet-level visibility has been proven to accelerate the detection, response, and resolution of network issues. Our report demonstrates that organizations not only understand the need for full fidelity forensics, multi-cloud visibility and NetSecOps alignment, but are actively putting steps in place to improve overall network observability."

Key findings include:

  • 79% of organizations report growing reliance on packet data, with measurable improvements in MTTD, MTTR, and alert accuracy.
  • Organizations with robust packet visibility are four times more likely to achieve MTTR under an hour compared to those without.
  • The shift toward multi-cloud environments is driving a 125% increase in collaborative monitoring models.
  • 42% of organizations that implemented NetSecOps models reported enhanced security benefits.
  • While 92% of organizations reported that they had sufficient budget to meet their needs, 78% believed there was a need for more support to prepare for rising network security threats.

"Networks are under constant threat and permanently stretched, yet what is clear from VIAVI and ESG's research is that most companies are taking steps to continually improve their uptime. Indeed, despite hard times, investment is set to increase in the overwhelming majority of companies for every single one of the 11 IT solutions we examined," said Jim Frey, Principal Analyst, Networking, Enterprise Strategy Group from Informa Tech Target. "This means there's a lot to be positive about, and this research demonstrates exactly where organizations are getting the greatest returns on investment to enable the best practices to be used across the industry."

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Unified Data Sources Deliver Faster MTTD and Shorter MTTR

Reliance on packet capture to improve mean times to detection (MTTD) and resolution (MTTR) is likely to increase in 79% of enterprise organizations this year, according to the 2025/2026 State of the Network study by VIAVI Solutions, in partnership with Enterprise Strategy Group, now part of Omdia.

The study reveals how IT network and security teams are evolving to meet the demands of hybrid infrastructure, rising cloud complexity, and increasing pressure to detect and resolve issues faster. Based on insights from 750 global professionals, it highlights a clear shift toward deeper network observability, renewed reliance on packet capture, growing cross-functional collaboration in cloud monitoring, and the accelerating convergence of network operations (NetOps) and security operations (SecOps).

The study shows that organizations with strong packet capture experienced notable improvements to MTTD, with double the number of respondents reporting a significantly shorter MTTD rate over the past year compared to those lacking strong packet capture capability.

In addition, respondents with good packet capture abilities were four times more likely to resolve issues in under an hour, and almost 35% more likely to resolve them in under three hours.

"As environments grow more distributed and threats become more dynamic, the path forward is clear. Unified visibility, smarter tooling, and operational alignment are no longer optional — they're essential," said Chris Labac, VP and GM, Network Performance and Threat Solutions, VIAVI. "Packet-level visibility has been proven to accelerate the detection, response, and resolution of network issues. Our report demonstrates that organizations not only understand the need for full fidelity forensics, multi-cloud visibility and NetSecOps alignment, but are actively putting steps in place to improve overall network observability."

Key findings include:

  • 79% of organizations report growing reliance on packet data, with measurable improvements in MTTD, MTTR, and alert accuracy.
  • Organizations with robust packet visibility are four times more likely to achieve MTTR under an hour compared to those without.
  • The shift toward multi-cloud environments is driving a 125% increase in collaborative monitoring models.
  • 42% of organizations that implemented NetSecOps models reported enhanced security benefits.
  • While 92% of organizations reported that they had sufficient budget to meet their needs, 78% believed there was a need for more support to prepare for rising network security threats.

"Networks are under constant threat and permanently stretched, yet what is clear from VIAVI and ESG's research is that most companies are taking steps to continually improve their uptime. Indeed, despite hard times, investment is set to increase in the overwhelming majority of companies for every single one of the 11 IT solutions we examined," said Jim Frey, Principal Analyst, Networking, Enterprise Strategy Group from Informa Tech Target. "This means there's a lot to be positive about, and this research demonstrates exactly where organizations are getting the greatest returns on investment to enable the best practices to be used across the industry."

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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 gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...