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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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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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