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NetScout Service Assurance Solutions Certified for DoD UC APL and Common Criteria

NetScout Systems announced that the NetScout nGeniusONE portfolio has been certified by the Defense Information Systems Agency (DISA) for the Department of Defense (DoD) Unified Capabilities Approved Products List (UC APL) and approved by the National Information Assurance Partner (NIAP) as Common Criteria certified against the requirements of Protection Profile for Network Devices v1.1.

The newly certified solutions include:

- nGeniusONE Unified Performance Management platform

- nGenius InfiniStream

These certifications validate that the nGeniusONE Service Assurance platform meets the rigorous testing and technical requirements for interoperability and security mandated by the DoD, National Institute of Standards and Technology (NIST) and National Security Agency (NSA). NetScout provides the US Federal Government and associated civilian agencies with an approved, interoperable and secure service assurance platform for the purpose of predicting and preventing application, network and unified communications performance issues or failures.

The Common Criteria is an internationally recognized ISO standard (ISO/IEC15408) used by governments and other organizations to assess the security and assurance of technology products. Common Criteria provides assurance that the process of specification, implementation and evaluation of a computer security product has been conducted in a rigorous and standard manner. In the United States, federal agencies mandate that all IT products purchased by the US Government for national security systems, which handle classified and some non-classified information, are required to be Common Criteria certified. Security-conscious customers such as government agencies utilize Common Criteria certification as a determining factor when making purchasing decisions.

“We are extremely pleased that our solutions meet the rigors of the highest security standards and the needs of the Federal market. Our security-conscious customers such as government agencies utilize UC APL and Common Criteria certification as a determining factor when making purchasing decisions, and now these certifications reinforce our ability to deliver solutions that are mission critical to network visibility and intelligence that is always on,” Tom Casey, Assistant VP of Product Management, NetScout.

Government agencies today turn to IT solutions that help simplify and assure their IT environments, consisting of multiple software components that reduce costs and address performance management disciplines such as application and network monitoring, network capacity planning, network troubleshooting, fault detection and service level management.

NetScout’s nGenius solution enables the implementation of a unified service delivery management strategy that provides situational awareness and preemptive response, helps IT organizations optimize the availability and performance of delivered services, protects the user experience and simplifies IT operations. The nGenius solution extends visibility to more places in the network with a common data set of service-oriented analysis and reporting functionality that promotes IT collaboration with team-oriented workflows.

Certified to Assure Services for US Military and Civilian Agencies: The UC APL certification creates and maintains a single consolidated list of products that have successfully completed Interoperability (IO) and Information Assurance (IA) certification. It assures that products have been independently verified to be compliant with the requirements of the Defense Information Systems Network, which is mandatory in order to connect to the DISA network. DISA provides information technology and communication support to the US President, Vice President, Secretary of Defense, military service and combatant commands as well as connects to all branches of the military in addition to related services, agencies and coalition partners.

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NetScout Service Assurance Solutions Certified for DoD UC APL and Common Criteria

NetScout Systems announced that the NetScout nGeniusONE portfolio has been certified by the Defense Information Systems Agency (DISA) for the Department of Defense (DoD) Unified Capabilities Approved Products List (UC APL) and approved by the National Information Assurance Partner (NIAP) as Common Criteria certified against the requirements of Protection Profile for Network Devices v1.1.

The newly certified solutions include:

- nGeniusONE Unified Performance Management platform

- nGenius InfiniStream

These certifications validate that the nGeniusONE Service Assurance platform meets the rigorous testing and technical requirements for interoperability and security mandated by the DoD, National Institute of Standards and Technology (NIST) and National Security Agency (NSA). NetScout provides the US Federal Government and associated civilian agencies with an approved, interoperable and secure service assurance platform for the purpose of predicting and preventing application, network and unified communications performance issues or failures.

The Common Criteria is an internationally recognized ISO standard (ISO/IEC15408) used by governments and other organizations to assess the security and assurance of technology products. Common Criteria provides assurance that the process of specification, implementation and evaluation of a computer security product has been conducted in a rigorous and standard manner. In the United States, federal agencies mandate that all IT products purchased by the US Government for national security systems, which handle classified and some non-classified information, are required to be Common Criteria certified. Security-conscious customers such as government agencies utilize Common Criteria certification as a determining factor when making purchasing decisions.

“We are extremely pleased that our solutions meet the rigors of the highest security standards and the needs of the Federal market. Our security-conscious customers such as government agencies utilize UC APL and Common Criteria certification as a determining factor when making purchasing decisions, and now these certifications reinforce our ability to deliver solutions that are mission critical to network visibility and intelligence that is always on,” Tom Casey, Assistant VP of Product Management, NetScout.

Government agencies today turn to IT solutions that help simplify and assure their IT environments, consisting of multiple software components that reduce costs and address performance management disciplines such as application and network monitoring, network capacity planning, network troubleshooting, fault detection and service level management.

NetScout’s nGenius solution enables the implementation of a unified service delivery management strategy that provides situational awareness and preemptive response, helps IT organizations optimize the availability and performance of delivered services, protects the user experience and simplifies IT operations. The nGenius solution extends visibility to more places in the network with a common data set of service-oriented analysis and reporting functionality that promotes IT collaboration with team-oriented workflows.

Certified to Assure Services for US Military and Civilian Agencies: The UC APL certification creates and maintains a single consolidated list of products that have successfully completed Interoperability (IO) and Information Assurance (IA) certification. It assures that products have been independently verified to be compliant with the requirements of the Defense Information Systems Network, which is mandatory in order to connect to the DISA network. DISA provides information technology and communication support to the US President, Vice President, Secretary of Defense, military service and combatant commands as well as connects to all branches of the military in addition to related services, agencies and coalition partners.

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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 ...

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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.