NETSCOUT® SYSTEMS announced new capabilities that further enhance its observability solutions to address critical gaps in remote site management and risks stemming from expired SSL/TLS certificates.
New nGeniusONE® solution enhancements support real-time deep packet inspection (DPI) over Ethernet or Wi-Fi 7, overcoming observability gaps in remote locations and delivering superior user experiences wherever needed. And NETSCOUT’s enhanced SSL/TLS certificates monitoring capabilities simplify and expedite management, reducing the risk of outages caused by missed certificate expirations.
NETSCOUT continues to innovate its observability solutions to help enterprises strengthen their digital resilience and ability to proactively prevent problem escalation. As the Wi-Fi 7 market is expected to grow at a CAGR of 61.5% between 2025 and 2030, according to BCC Research, driven by demand for ultra-fast speeds and low latency to support digital transformations and industrial IoT, observability solutions in remote locations need to evolve in parallel.
By adding Wi-Fi 7 support (backwards compatible with Wi-Fi 6E, 6, and 5) to the existing Ethernet support in new nGenius® Edge Sensors, IT teams can confidently monitor critical applications at remote sites and receive early warning notifications of emerging problems that prevent adverse impacts to revenue streams, customer service and employee productivity. Using the solution, enterprises gain comprehensive visibility to support current and future Wi-Fi deployments seamlessly.
NETSCOUT has enhanced certificate monitor capabilities in nGeniusONE to provide real-time insights to maintain valid SSL certificates, proactively detect SSL certificates approaching their expiration, and discover unknown certificates running on non-standard ports, in disguise, or the result of shadow IT. This prevents costly downtime due to expirations, maintains user trust by avoiding security warnings, ensures compliance, and guards against vulnerabilities such as misissued or weak certificates. As a result, IT teams can proactively manage their servers, protect their business services more efficiently and effectively, and prevent painful problems related to certificate expiration.
"Through our observability solutions, we’re helping organizations master their complex networks by shifting from reactive fixes to preventative operations,” stated Phil Gray, associate vice president, product management, NETSCOUT. “We aren't just accelerating MTTR; we’re giving IT teams the foresight to resolve issues before they touch the business, guaranteeing a high-quality experience for their employees and customers."
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.