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Keysight Technologies Announces Cloud Sensor vTap

Keysight Technologies announced Cloud Sensor vTap, a new feature of CloudLens from Ixia, a Keysight Business.

Cloud Sensor vTap enables organizations to better manage their security risk in private and hybrid cloud environments, such as Microsoft Azure Stack, with comprehensive visibility into East-West traffic without requiring hypervisor access.

“Private cloud environments, in which access to the underlying hypervisor platform and virtual switches is not possible, present unique visibility challenges,” said Scott Register, VP of Product Management at Keysight’s Ixia Solutions Group. “Organizations have a limited view of virtualized network traffic which creates network blind spots for virtual or physical datacenter security, monitoring, and analytics tools. Cloud Sensor vTap delivers the visibility needed into incoming and outgoing traffic from a particular virtual workload, significantly improving overall security of private and hybrid cloud environments.”

Ixia CloudLens, with the new Cloud Sensor vTap, is a comprehensive visibility solution for virtual network traffic in private clouds, offering customers visibility into their east/west network traffic in environments where the administrator has no hypervisor access -- to virtually tap (vTap) or capture, filter and forward a copy network traffic directly to either tools or a network packet broker. CloudLens also includes a new management platform for sensors, the CloudLens Sensor Management Platform (CSMP). Coupled with the CloudLens Manager for integrated and easy management, sensors can be deployed on premises, even in security tight environments without Internet access.

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Keysight Technologies Announces Cloud Sensor vTap

Keysight Technologies announced Cloud Sensor vTap, a new feature of CloudLens from Ixia, a Keysight Business.

Cloud Sensor vTap enables organizations to better manage their security risk in private and hybrid cloud environments, such as Microsoft Azure Stack, with comprehensive visibility into East-West traffic without requiring hypervisor access.

“Private cloud environments, in which access to the underlying hypervisor platform and virtual switches is not possible, present unique visibility challenges,” said Scott Register, VP of Product Management at Keysight’s Ixia Solutions Group. “Organizations have a limited view of virtualized network traffic which creates network blind spots for virtual or physical datacenter security, monitoring, and analytics tools. Cloud Sensor vTap delivers the visibility needed into incoming and outgoing traffic from a particular virtual workload, significantly improving overall security of private and hybrid cloud environments.”

Ixia CloudLens, with the new Cloud Sensor vTap, is a comprehensive visibility solution for virtual network traffic in private clouds, offering customers visibility into their east/west network traffic in environments where the administrator has no hypervisor access -- to virtually tap (vTap) or capture, filter and forward a copy network traffic directly to either tools or a network packet broker. CloudLens also includes a new management platform for sensors, the CloudLens Sensor Management Platform (CSMP). Coupled with the CloudLens Manager for integrated and easy management, sensors can be deployed on premises, even in security tight environments without Internet access.

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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 ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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