Skip to main content

Riverbed Updates NPM Portfolio

Riverbed announced key updates to its Network Performance Management (NPM) portfolio, delivering greater visibility that is crucial to monitoring productivity and performance, as organizations continue to shift toward hybrid-networks and work-from-anywhere models.

Riverbed NPM now includes: more cloud options, increased visibility and analysis of encrypted traffic, and use of artificial intelligence (AI) for behavioral analytics of packets, apps and users for automatically defining baselines and outliers.

Additionally, with Riverbed NPM solutions, organizations can now also create customized dashboards that provide IT and business leaders with real-time insights into overall app performance and the connectivity infrastructure critical for remote working.

“This rise in remote work has not only led to much more geographically dispersed organizations, but to a significant increase in SaaS apps and cloud-based services, which has in turn exposed major gaps in visibility across the hybrid landscape,” said Rich McBee, CEO of Riverbed. “With IT and digital performance linked to the overall business performance of an enterprise, our customers rely on Riverbed NPM solutions to assure the reliability, security and performance of their networks as no other visibility solution can measure every single packet, and flow, across all devices and networks. With the innovations we’re announcing today, and our application acceleration solutions to drive performance, we’re making it easier than ever before for enterprises to have the tools to deliver productivity across the business, even in the face of unprecedented network complexity and an increasingly work-from-anywhere world.”

“More broadly than ever before, the digital enterprise is spread across on-prem, IaaS, SaaS and work-from-anywhere environments. Many NPM tools monitor only some of these environments, leaving big gaps in understanding for IT leaders,” said Dante Malagrino, Chief Development Officer, at Riverbed. “In the latest release of Riverbed’s unified NPM solution, we updated the industry’s most trusted solution to collect and analyze even more information, delivering powerful new insights into encrypted traffic and user activity. Coupled with new behavioral analytics and anomaly detection, Riverbed NPM continues to provide the most holistic and normalized view throughout the enterprise network for efficient troubleshooting and decision-making.”

“Organizations have accelerated digital transformation initiatives to adjust to the new normal – a highly distributed work force and applications environment. ESG research highlights that the top goals of these initiatives are to drive greater operational efficiencies and deliver differentiated customer experiences, yet many struggle with the increased complexity and lack of visibility in these dispersed environments,” stated Bob Laliberte, Senior Analyst, ESG. “Riverbed’s enhanced cloud and AI solutions enable organizations to deliver positive application experiences and increased productivity for remote workers, while the holistic visibility and centralized cloud-based portal means operations can quickly regain control of these highly complex and distributed environments.”

Additionally, with the digital enterprise spread across on-prem, IaaS, SaaS and work-from-anywhere environments and with many workers using their own devices and connecting to company networks using personal WiFi connections or mobile data, attack areas and vulnerabilities have increased. In order to safeguard these newly exposed environments and manage their expanded workloads, IT and security pros need to have unobstructed visibility as explained by customer Depository Trust and Clearing Corporation:

New Cloud and High-Availability Deployment Options: Network operators now have the ability to deploy Riverbed NetProfiler, Flow Gateway and NetIM services directly in the cloud, eliminating the need to procure and deploy physical servers on-premises. Cloud instances provide the same high scale and user experience, with up to 6 million flows per minute (FPM) on Flow Gateway and up to 30 million flows per minute on NetProfiler. Support for cloud deployment includes Azure, Azure Government, AWS and AWS GovCloud.

In addition, NetIM adds robust high availability capabilities to ensure that real-time insight into the health and performance of IT infrastructure is as robust as the infrastructure itself.

Artificial Intelligence Powers Behavioral Analytics of Packets, Apps & Users: A new set of powerful reporting capabilities make it easier than ever to track what’s most important throughout robust and geographically dispersed networks:

- New Adaptive Thresholds​ for AppResponse uses behavioral analytics or AI to automatically create baselines and detect and flag abnormal changes in server response times and total throughput, enabling organizations to address the most critical performance challenges, while eliminating operational overhead associated with unimportant or unactionable alerts and reducing security risks associated with human error or oversight.

- NetProfiler introduces AD Connector 3.0 to automatically associate user names from Active Directory with flagged IP addresses for inclusion in reports, simplifying troubleshooting and providing business relevance to insights.

- NetProfiler expands integration with Riverbed SteelHead with support for custom application groups and enhanced reporting of inbound Network QoS, helping you find and fix performance issues for critical apps, including critical, work-from-home collaboration apps like voice and video, with a unified platform.

Increased Visibility & Insight into Encrypted Traffic Flows: The ubiquity of encrypted network traffic has made it harder for network operators to retain deep visibility into packets, which increases the risk of malicious threats and malware going undetected on the network.

Riverbed AppResponse now provides enhanced insight into encrypted network traffic, including support for Perfect Forward Secrecy (PFS), giving operators the ability to track, report and validate the integrity of SSL/TLS sessions, certificates and cipher suites. Being able to see and track TLS handshake metrics, such as out-of-date TLS certificates, can help ensure that private data, like personal or financial information, is not easily susceptible to theft.

The Latest

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 ...

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 ...

Riverbed Updates NPM Portfolio

Riverbed announced key updates to its Network Performance Management (NPM) portfolio, delivering greater visibility that is crucial to monitoring productivity and performance, as organizations continue to shift toward hybrid-networks and work-from-anywhere models.

Riverbed NPM now includes: more cloud options, increased visibility and analysis of encrypted traffic, and use of artificial intelligence (AI) for behavioral analytics of packets, apps and users for automatically defining baselines and outliers.

Additionally, with Riverbed NPM solutions, organizations can now also create customized dashboards that provide IT and business leaders with real-time insights into overall app performance and the connectivity infrastructure critical for remote working.

“This rise in remote work has not only led to much more geographically dispersed organizations, but to a significant increase in SaaS apps and cloud-based services, which has in turn exposed major gaps in visibility across the hybrid landscape,” said Rich McBee, CEO of Riverbed. “With IT and digital performance linked to the overall business performance of an enterprise, our customers rely on Riverbed NPM solutions to assure the reliability, security and performance of their networks as no other visibility solution can measure every single packet, and flow, across all devices and networks. With the innovations we’re announcing today, and our application acceleration solutions to drive performance, we’re making it easier than ever before for enterprises to have the tools to deliver productivity across the business, even in the face of unprecedented network complexity and an increasingly work-from-anywhere world.”

“More broadly than ever before, the digital enterprise is spread across on-prem, IaaS, SaaS and work-from-anywhere environments. Many NPM tools monitor only some of these environments, leaving big gaps in understanding for IT leaders,” said Dante Malagrino, Chief Development Officer, at Riverbed. “In the latest release of Riverbed’s unified NPM solution, we updated the industry’s most trusted solution to collect and analyze even more information, delivering powerful new insights into encrypted traffic and user activity. Coupled with new behavioral analytics and anomaly detection, Riverbed NPM continues to provide the most holistic and normalized view throughout the enterprise network for efficient troubleshooting and decision-making.”

“Organizations have accelerated digital transformation initiatives to adjust to the new normal – a highly distributed work force and applications environment. ESG research highlights that the top goals of these initiatives are to drive greater operational efficiencies and deliver differentiated customer experiences, yet many struggle with the increased complexity and lack of visibility in these dispersed environments,” stated Bob Laliberte, Senior Analyst, ESG. “Riverbed’s enhanced cloud and AI solutions enable organizations to deliver positive application experiences and increased productivity for remote workers, while the holistic visibility and centralized cloud-based portal means operations can quickly regain control of these highly complex and distributed environments.”

Additionally, with the digital enterprise spread across on-prem, IaaS, SaaS and work-from-anywhere environments and with many workers using their own devices and connecting to company networks using personal WiFi connections or mobile data, attack areas and vulnerabilities have increased. In order to safeguard these newly exposed environments and manage their expanded workloads, IT and security pros need to have unobstructed visibility as explained by customer Depository Trust and Clearing Corporation:

New Cloud and High-Availability Deployment Options: Network operators now have the ability to deploy Riverbed NetProfiler, Flow Gateway and NetIM services directly in the cloud, eliminating the need to procure and deploy physical servers on-premises. Cloud instances provide the same high scale and user experience, with up to 6 million flows per minute (FPM) on Flow Gateway and up to 30 million flows per minute on NetProfiler. Support for cloud deployment includes Azure, Azure Government, AWS and AWS GovCloud.

In addition, NetIM adds robust high availability capabilities to ensure that real-time insight into the health and performance of IT infrastructure is as robust as the infrastructure itself.

Artificial Intelligence Powers Behavioral Analytics of Packets, Apps & Users: A new set of powerful reporting capabilities make it easier than ever to track what’s most important throughout robust and geographically dispersed networks:

- New Adaptive Thresholds​ for AppResponse uses behavioral analytics or AI to automatically create baselines and detect and flag abnormal changes in server response times and total throughput, enabling organizations to address the most critical performance challenges, while eliminating operational overhead associated with unimportant or unactionable alerts and reducing security risks associated with human error or oversight.

- NetProfiler introduces AD Connector 3.0 to automatically associate user names from Active Directory with flagged IP addresses for inclusion in reports, simplifying troubleshooting and providing business relevance to insights.

- NetProfiler expands integration with Riverbed SteelHead with support for custom application groups and enhanced reporting of inbound Network QoS, helping you find and fix performance issues for critical apps, including critical, work-from-home collaboration apps like voice and video, with a unified platform.

Increased Visibility & Insight into Encrypted Traffic Flows: The ubiquity of encrypted network traffic has made it harder for network operators to retain deep visibility into packets, which increases the risk of malicious threats and malware going undetected on the network.

Riverbed AppResponse now provides enhanced insight into encrypted network traffic, including support for Perfect Forward Secrecy (PFS), giving operators the ability to track, report and validate the integrity of SSL/TLS sessions, certificates and cipher suites. Being able to see and track TLS handshake metrics, such as out-of-date TLS certificates, can help ensure that private data, like personal or financial information, is not easily susceptible to theft.

The Latest

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 ...

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 ...