InfoVista and Cato Networks announced the availability of an integrated SD-WAN gateway solution for enterprises.
The solution delivers a global, secure, application-aware network, optimized for the cloud and backed by best-in-class SLAs.
This new solution provides a cost effective agile network that offers enhanced security and application awareness tuned to business priorities and agility. In addition, the solution is enabled through the combination of InfoVista’s Ipanema Application Aware SD-WAN and Cato Cloud network service. It delivers globally orchestrated, application-aware SD-WAN together with centralized management of large scale networks and powerful, cloud-based security. This ensures that mission-critical applications can be securely delivered globally with optimal performance based on business objectives across any WAN infrastructure, while reducing costs.
Ipanema’s Dynamic WAN Selection (DWS) and Application Control Quality of Service (QoS) features allow each site in the network to select the right transport for each application on a per session basis. Internet-based applications are directed to the Cato Cloud via secure gateway connections by the Ipanema appliance, providing full cloud-based security. The Cato Cloud can also extend this functionality to mobile users, delivering secure and optimized performance to meet the needs of the agile workplace. The global connectivity offered can augment existing MPLS networks with secure cloud access, while enabling hybrid WAN connections, and offers an evolution path to secure, full-Internet connectivity in the future.
“Combining Ipanema’s unique application performance control capabilities for SD-WAN with Cato’s cloud-based features, allows each enterprise to determine its unique business priorities for applications for each user. This drives transformation to full Internet connectivity with hybrid options to maximize choice,” commented Sylvain Quartier, SVP Product Strategy Enterprises, InfoVista. “It reduces costs, helping more enterprises to leverage the Internet to enhance agility, and offers more robust capabilities for real-time, per session control and cloud access. The solution is now available for leading enterprises globally, through the channel ecosystem.”
“Cato seamlessly extends the value of InfoVista’s SD-WAN solution, which optimizes mission critical application performance, to include global MPLS replacement, branch security appliance elimination, and optimized access for mobile users and cloud resources,” said Alon Alter, VP Business Operations, Cato Networks. “Cato’s unique SLA-backed global backbone with built-in network security combined with InfoVista’s Ipanema enables enterprises to dramatically reduce the cost, complexity and risk in their enterprise networks.”
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 ...