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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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Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...