Keysight Technologies has extended the company’s Innovate Anywhere program in response to COVID-19, which is available through May 31, 2020, to enable IT staff to support the growing remote user community, while maintaining network availability, improving security and ensuring performance.
“As companies around the world adjust to more and more employees working remotely, IT teams have stepped up to support those remote users to ensure business continuity,” stated Mark Pierpoint, President of Network Applications & Security at Keysight Technologies. “Virtual private networks (VPNs) are critical to maintain security between users working from home and their company. Keysight is committed to helping IT groups ensure their VPNs are performing properly for all the users, while not costing more than necessary by being over-provisioned.”
■ Complimentary Secure Sockets Layer (SSL) Virtual Private Network (VPN) Check: Many VPNs use the SSL protocol to provide secure private network access from a public network. Keysight’s complimentary SSL VPN Availability Assessment is a self-service web portal that enables IT staff to check their company’s Cisco VPN gateway’s availability to accept new incoming connections. This low-impact assessment includes daily e-mail reports and proactive alerts to potential VPN gateway availability issues.
■ SSL VPN Gateway Assessment Service: A VPN infrastructure is key to business continuity, but companies scaled most of their deployments for the status quo — not the new normal. Now, business continuity depends on employees being able to work remotely. Not only does IT need to provision enough VPN capacity for a usage surge, they need to validate that the network can smoothly support critical applications at peak traffic loads.
Keysight’s test experts use an elastically scaling cloud infrastructure to simulate thousands of VPN clients connecting to the customer’s production VPN gateways during a maintenance window. The assessment provides detailed reports and metrics that enable IT to identify performance issues and optimize split tunnel policies for a better user experience by answering these critical questions:
- How many users can my VPN gateway support?
- How long does connection establishment take when a lot of users are connecting?
- How much throughput does the gateway support with lots of connected users?
- How much bandwidth per tunnel can my infrastructure sustain?
■ Complimentary Live Network Testing Trial: To support customers whose unified communications, voice and video applications are struggling to keep up with an influx of remote connections, Keysight is offering a complimentary 30-day Hawkeye Network Performance Monitoring trial to help minimize service disruptions and ensure user experience with active network monitoring.
■ Complimentary Breach and Attack Simulation Trial: Security operations teams supporting a growing remote workforce must assess how security protocols are working via the company’s VPN, given the numerous threats posed by exploitable home devices and exposure to malware. Keysight’s Threat Simulator, a breach and attack simulation platform, safely measures security risks and exposes gaps.
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.