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ExtraHop 6.0 Released

ExtraHop announced the general availability of ExtraHop 6.0.

With this release, ExtraHop delivers a top-down workflow that enables IT teams to go from real-time performance metrics for application, security, network, and business services to associated packets in five clicks or less.

This streamlined workflow transforms the network from a commoditized transport function into the richest source of real-time insight. The new capabilities give customers comprehensive visibility into end-users' digital experiences, including direct correlation to the specific data points necessary for rapid restoration and proactive operations.

ExtraHop 6.0 builds on the platform's turnkey streaming wire data analytics by introducing functionality designed to ease the evolution of existing IT workflows to meet the demands of modern business. Customers can address the requirements of scale, complexity, and dynamism by automatically discovering devices, systems, and their relationships; observing and measuring their behavior; and rapidly initiating a forensic investigation of performance and security problems by drilling down to the packet level.

Role-specific benefits of ExtraHop 6.0 include:

- Application and IT Ops Teams have the data they need to support a seamless digital experience for end-users. ExtraHop 6.0 provides automatic discovery of all IT assets and their relationships as well as the ability to monitor communications across applications. This visibility streamlines workflows and enables more agile development and data-driven decision-making.

- Security Teams gain real-time visibility across the organization, allowing them to assess their actual risk profile, establish policies and detect violations, and monitor ongoing compliance. With precision packet analytics, information security professionals are never more than five clicks from the record of origin for any security incident.

- Network Teams can leverage the industry's first top-down workflow that dramatically reduces the average time-to-resolution. Unlike traditional models that involve a retroactive packet capture and require network engineers to search through reams of data, ExtraHop takes network teams from metrics to transactions to the specific packets tied to any incident in under a minute, in five clicks or less.

- Business Decision Makers have a single platform that delivers the real-time insight they need to take the decisive and data-driven actions critical for modern businesses to serve the needs of internal and external customers, ensure a seamless digital experience, stay secure, and remain competitive.

"Every digital experience -- whether it's booking a flight, online banking, lunch courtesy of UberEATS, or receiving medical care -- is supported by hundreds or even thousands of interactions between systems and devices communicating over a network," said Arif Kareem, CEO at ExtraHop. "Ensuring a seamless digital experience means having visibility into all of these interactions and their impact on the business. The network is the only source that can provide that insight. It's not just the transport anymore, and there are people, processes, and technologies to maximize its potential. It's time to rethink the network, and to transform it into what it's meant to be: a rich, powerful source of real-time data for the digital world."

New capabilities available in ExtraHop 6.0 include:

- Continuous Packet Capture at a sustained 10Gbps puts IT teams within five clicks of the epicenter of an IT issue occurring from any transaction, message, or flow on the network. The ability to precisely identify the records tied to any particular incident accelerates debugging, forensics, evidence, and data retention.

- Transaction-to-Packet Correlation allows users to search and download packets linked to a specific device, application, or transaction record. When coupled with the real-time, full-stream analytics and historical search capabilities of the ExtraHop Platform, users have a comprehensive, dynamic, granular, and multi-dimensional view into the most accurate and voluminous source of IT and business data: the network.

- Integrated NetFlow Analysis combines NetFlow v5, v9, and IPFIX with wire data for broader visibility across interfaces. Built-in metrics for "Top Talkers," "Top Applications," and "Top Conversations" enable IT to quickly identify which interfaces are consuming the most bandwidth in real-time.

- SSH Protocol Support delivers visibility into sessions with metrics for cipher suites, compression, MAC, and key-exchange to improve security posture.

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 ...

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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.

ExtraHop 6.0 Released

ExtraHop announced the general availability of ExtraHop 6.0.

With this release, ExtraHop delivers a top-down workflow that enables IT teams to go from real-time performance metrics for application, security, network, and business services to associated packets in five clicks or less.

This streamlined workflow transforms the network from a commoditized transport function into the richest source of real-time insight. The new capabilities give customers comprehensive visibility into end-users' digital experiences, including direct correlation to the specific data points necessary for rapid restoration and proactive operations.

ExtraHop 6.0 builds on the platform's turnkey streaming wire data analytics by introducing functionality designed to ease the evolution of existing IT workflows to meet the demands of modern business. Customers can address the requirements of scale, complexity, and dynamism by automatically discovering devices, systems, and their relationships; observing and measuring their behavior; and rapidly initiating a forensic investigation of performance and security problems by drilling down to the packet level.

Role-specific benefits of ExtraHop 6.0 include:

- Application and IT Ops Teams have the data they need to support a seamless digital experience for end-users. ExtraHop 6.0 provides automatic discovery of all IT assets and their relationships as well as the ability to monitor communications across applications. This visibility streamlines workflows and enables more agile development and data-driven decision-making.

- Security Teams gain real-time visibility across the organization, allowing them to assess their actual risk profile, establish policies and detect violations, and monitor ongoing compliance. With precision packet analytics, information security professionals are never more than five clicks from the record of origin for any security incident.

- Network Teams can leverage the industry's first top-down workflow that dramatically reduces the average time-to-resolution. Unlike traditional models that involve a retroactive packet capture and require network engineers to search through reams of data, ExtraHop takes network teams from metrics to transactions to the specific packets tied to any incident in under a minute, in five clicks or less.

- Business Decision Makers have a single platform that delivers the real-time insight they need to take the decisive and data-driven actions critical for modern businesses to serve the needs of internal and external customers, ensure a seamless digital experience, stay secure, and remain competitive.

"Every digital experience -- whether it's booking a flight, online banking, lunch courtesy of UberEATS, or receiving medical care -- is supported by hundreds or even thousands of interactions between systems and devices communicating over a network," said Arif Kareem, CEO at ExtraHop. "Ensuring a seamless digital experience means having visibility into all of these interactions and their impact on the business. The network is the only source that can provide that insight. It's not just the transport anymore, and there are people, processes, and technologies to maximize its potential. It's time to rethink the network, and to transform it into what it's meant to be: a rich, powerful source of real-time data for the digital world."

New capabilities available in ExtraHop 6.0 include:

- Continuous Packet Capture at a sustained 10Gbps puts IT teams within five clicks of the epicenter of an IT issue occurring from any transaction, message, or flow on the network. The ability to precisely identify the records tied to any particular incident accelerates debugging, forensics, evidence, and data retention.

- Transaction-to-Packet Correlation allows users to search and download packets linked to a specific device, application, or transaction record. When coupled with the real-time, full-stream analytics and historical search capabilities of the ExtraHop Platform, users have a comprehensive, dynamic, granular, and multi-dimensional view into the most accurate and voluminous source of IT and business data: the network.

- Integrated NetFlow Analysis combines NetFlow v5, v9, and IPFIX with wire data for broader visibility across interfaces. Built-in metrics for "Top Talkers," "Top Applications," and "Top Conversations" enable IT to quickly identify which interfaces are consuming the most bandwidth in real-time.

- SSH Protocol Support delivers visibility into sessions with metrics for cipher suites, compression, MAC, and key-exchange to improve security posture.

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.