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Network Forensics in a World of Faster Networks

Jay Botelho

Enterprises are relying more on their networks than ever before, but the volume of traffic on faster, higher bandwidth networks is outstripping the data collection and analysis capabilities of traditional network analysis tools. Yesterday's network analyzers – that were designed originally for 1G or slower networks – can't handle the increased amount of traffic, resulting in dropped packets and erroneous reports.

Earlier this year, WildPackets surveyed more than 250 network engineers and IT professionals to better understand how network forensics solutions were being used within the enterprise. Respondents hailed from organizations of all sizes and industries – with the plurality (30%) coming from the technology industry. Furthermore, 50% of all respondents identified themselves as network engineers, with 28% at the director-level or above.

According to the survey, 72% of organizations have increased their network utilization over the past year, resulting in slower problem identification and resolution (38%), less real-time visibility (25%) and more dropped packets leading to inaccurate results (15%).

What we found most interesting was that even though 66% of the survey respondents supported 10G or faster network speeds, only 40% of respondents answered affirmatively to the question "Does your organization currently have a network forensics solution in place?"

So what's the big deal? Not only do faster network speeds make securing and troubleshooting networks difficult, but also traditional network analysis solutions simply cannot keep up with the massive volumes of data being transported.

Organizations need better visibility of the data that are traversing their networks, and deploying a network forensics solution is the only way to gain 24/7 visibility into business operations while also analyzing network performance and IT risks with 100% reliability. Current solutions rely on sampled traffic and high-level statistics, which lack the details and hard evidence that IT engineers need to quickly troubleshoot problems and characterize security attacks.

With faster networks leading to a significant increase in the volume of data being transported - 74% of survey respondents have seen an increase in the volume of data traversing their networks over the last year - network forensics has become an essential IT capability to be deployed at every network location. The recent increase in security breaches is a perfect example of how the continued adoption of network forensics within the security operations center of organizations can be used to pinpoint breaches and infiltrations.

In the past, folks used to think that network forensics was synonymous with security incident investigations. But the results of our survey show that organizations are using these solutions for a variety of reasons. While 25% of respondents said they deploy network forensics for troubleshooting security breaches, almost an equal number (24%) cited verifying and troubleshooting transactions as the key function. 17% percent said analyzing network performance on 10G and faster networks was their main use for forensics, another 17% reported using the solution for verifying VoIP or video traffic problems, and 14% for validating compliance.

In addition, organizations said the biggest benefits of network forensics include: improved overall network performance (40%), reduced time to resolution (30%), and reduced operating costs (21%).

Enterprises recognize that network forensics provides them with the necessary visibility into their business operations, and with increased 40G and 100G network deployments forecast in the next year, network forensics will be a critical tool to gain visibility into these high-performing networks and troubleshoot issues when they arise. Based on the many uses of network forensics, it is expected that the gap between those deploying high speed networks and those deploying network forensics will shrink over the coming years.

Jay Botelho is Director of Product Management at WildPackets.

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Network Forensics in a World of Faster Networks

Jay Botelho

Enterprises are relying more on their networks than ever before, but the volume of traffic on faster, higher bandwidth networks is outstripping the data collection and analysis capabilities of traditional network analysis tools. Yesterday's network analyzers – that were designed originally for 1G or slower networks – can't handle the increased amount of traffic, resulting in dropped packets and erroneous reports.

Earlier this year, WildPackets surveyed more than 250 network engineers and IT professionals to better understand how network forensics solutions were being used within the enterprise. Respondents hailed from organizations of all sizes and industries – with the plurality (30%) coming from the technology industry. Furthermore, 50% of all respondents identified themselves as network engineers, with 28% at the director-level or above.

According to the survey, 72% of organizations have increased their network utilization over the past year, resulting in slower problem identification and resolution (38%), less real-time visibility (25%) and more dropped packets leading to inaccurate results (15%).

What we found most interesting was that even though 66% of the survey respondents supported 10G or faster network speeds, only 40% of respondents answered affirmatively to the question "Does your organization currently have a network forensics solution in place?"

So what's the big deal? Not only do faster network speeds make securing and troubleshooting networks difficult, but also traditional network analysis solutions simply cannot keep up with the massive volumes of data being transported.

Organizations need better visibility of the data that are traversing their networks, and deploying a network forensics solution is the only way to gain 24/7 visibility into business operations while also analyzing network performance and IT risks with 100% reliability. Current solutions rely on sampled traffic and high-level statistics, which lack the details and hard evidence that IT engineers need to quickly troubleshoot problems and characterize security attacks.

With faster networks leading to a significant increase in the volume of data being transported - 74% of survey respondents have seen an increase in the volume of data traversing their networks over the last year - network forensics has become an essential IT capability to be deployed at every network location. The recent increase in security breaches is a perfect example of how the continued adoption of network forensics within the security operations center of organizations can be used to pinpoint breaches and infiltrations.

In the past, folks used to think that network forensics was synonymous with security incident investigations. But the results of our survey show that organizations are using these solutions for a variety of reasons. While 25% of respondents said they deploy network forensics for troubleshooting security breaches, almost an equal number (24%) cited verifying and troubleshooting transactions as the key function. 17% percent said analyzing network performance on 10G and faster networks was their main use for forensics, another 17% reported using the solution for verifying VoIP or video traffic problems, and 14% for validating compliance.

In addition, organizations said the biggest benefits of network forensics include: improved overall network performance (40%), reduced time to resolution (30%), and reduced operating costs (21%).

Enterprises recognize that network forensics provides them with the necessary visibility into their business operations, and with increased 40G and 100G network deployments forecast in the next year, network forensics will be a critical tool to gain visibility into these high-performing networks and troubleshoot issues when they arise. Based on the many uses of network forensics, it is expected that the gap between those deploying high speed networks and those deploying network forensics will shrink over the coming years.

Jay Botelho is Director of Product Management at WildPackets.

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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 ...

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