Skip to main content

Keysight Introduces CyPerf

Keysight Technologies announced new cloud-native distributed network performance and security test software – CyPerf – which helps organizations characterize user experience and validate the performance limits of hybrid networks, security devices and services for confident rollouts.

New technologies such as SD-WAN, multi-cloud architectures and software as a service (SaaS) applications evolve network and security architectures to a distributed, hybrid model. As more users, devices, applications, services and data reside outside of an organization, IT teams need to measure the performance and security of networks and application services. As a result, network and security operations share the objective of guaranteeing a well-performing and secure network.

Built using a light-weight, software agent-based architecture, Keysight's CyPerf software is easy to deploy and operate in lab networks, sandbox environments and hybrid production networks. CyPerf offers:

- CyPerf's web-based GUI helps users visualize and interact with various network elements that are critical to simulating a network in action.

- A holistic approach for realistic pre- and post-deployment testing in distributed environments.

- Insights into the end user experience, security posture and performance bottlenecks while under controllable, realistic load conditions.

- Real-world results by simultaneously generating legitimate traffic mixes and malicious activities that can transverse a complex distributed network consisting of proxies, software-defined wide area networking (SD-WAN), transport layer security (TLS) inspection, elastic load balancers (ELBs), and web application firewalls (WAF).

- A proactive, continuous data-driven approach that IT network operators can utilize to validate and analyze changes in user experience, performance and security compared with previously established baselines.

- Network and security operations teams the ability to find the balance between the digital user experience and security in their organizations.

- Network security tool vendors the ability to realistically replicate their customers' environments to accelerate the time-to-market of their solutions and services.

"As more users, devices, applications, services and data move to the network edge, a new approach is needed to validate performance and security," said Ram Periakaruppan, VP and GM, at Keysight Network Applications & Security Group. "CyPerf can be deployed by enterprises and network security vendors to fine-tune the balance between digital user experience and security in a dynamic hybrid environment that consists of third-party cloud providers and network connectivity. Performance and security are only as good as the weakest part of a network, and CyPerf identifies those weaknesses with a view into the full application delivery path in hybrid networks."

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.

Keysight Introduces CyPerf

Keysight Technologies announced new cloud-native distributed network performance and security test software – CyPerf – which helps organizations characterize user experience and validate the performance limits of hybrid networks, security devices and services for confident rollouts.

New technologies such as SD-WAN, multi-cloud architectures and software as a service (SaaS) applications evolve network and security architectures to a distributed, hybrid model. As more users, devices, applications, services and data reside outside of an organization, IT teams need to measure the performance and security of networks and application services. As a result, network and security operations share the objective of guaranteeing a well-performing and secure network.

Built using a light-weight, software agent-based architecture, Keysight's CyPerf software is easy to deploy and operate in lab networks, sandbox environments and hybrid production networks. CyPerf offers:

- CyPerf's web-based GUI helps users visualize and interact with various network elements that are critical to simulating a network in action.

- A holistic approach for realistic pre- and post-deployment testing in distributed environments.

- Insights into the end user experience, security posture and performance bottlenecks while under controllable, realistic load conditions.

- Real-world results by simultaneously generating legitimate traffic mixes and malicious activities that can transverse a complex distributed network consisting of proxies, software-defined wide area networking (SD-WAN), transport layer security (TLS) inspection, elastic load balancers (ELBs), and web application firewalls (WAF).

- A proactive, continuous data-driven approach that IT network operators can utilize to validate and analyze changes in user experience, performance and security compared with previously established baselines.

- Network and security operations teams the ability to find the balance between the digital user experience and security in their organizations.

- Network security tool vendors the ability to realistically replicate their customers' environments to accelerate the time-to-market of their solutions and services.

"As more users, devices, applications, services and data move to the network edge, a new approach is needed to validate performance and security," said Ram Periakaruppan, VP and GM, at Keysight Network Applications & Security Group. "CyPerf can be deployed by enterprises and network security vendors to fine-tune the balance between digital user experience and security in a dynamic hybrid environment that consists of third-party cloud providers and network connectivity. Performance and security are only as good as the weakest part of a network, and CyPerf identifies those weaknesses with a view into the full application delivery path in hybrid networks."

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.