NETSCOUT® SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, expands its data platform to provide the trusted operational context required to build the foundation for enterprise AI. The NETSCOUT data platform observes digital interactions, converts packets into high-fidelity, compact, contextualized evidence in real time, and curates that evidence at scale for observability, service assurance, cybersecurity, and AI.

This addresses a growing barrier to enterprise AI adoption: increasingly capable models still cannot deliver reliable operational decisions when the data supplied to them is incomplete, noisy, fragmented, or stripped of context. Traditional metrics, events, logs, and traces (MELT data) remain important, but often require AI systems to reconstruct what happened after telemetry has been sampled, aggregated, or separated across tools. That increases inference, compute requirements, token consumption, and the risk of an inaccurate recommendation.

Gartner predicts that by 2027, organizations that prioritize semantics in AI-ready data will increase their agentic AI accuracy by up to 80% and reduce costs by up to 60%. Agentic AI outcomes depend on context, including semantic representations of data. The need for trusted context becomes even more consequential as AI agents progress from advising operators to taking autonomous action.

“Unlocking the benefits of AI across the enterprise will not be achieved by adding another model. It will succeed through context engineering: giving AI the right operational context before reasoning begins,” said Sanjay Munshi, chief operating officer, NETSCOUT. “NETSCOUT turns observed digital interactions into grounded-truth evidence. Through our own internal testing we experienced   more than a 25% reduction in AI token consumption compared with MELT only data, and more than a 75% reduction in MTTK. Compact, context-rich operational intelligence helps our customers improve decision confidence, lower the cost of AI-driven analysis, and establish the control required to move from AIOps recommendations toward safe, autonomous operations.”

Architecture Designed for the AI Era

IDC expects 80% of agentic AI use cases will require real time, contextual, and widely accessible data and states that the goal is to create a trusted, real time data environment where AI can reason, decide, and act with the right context and guardrails. NETSCOUT produces Smart Data via a unique architectural approach, bringing together two complementary capabilities that improve context engineering:

• Early semantic extraction: NETSCOUT derives operational meaning from packets at the point of observation, preserving evidence that can disappear in conventional datasets.
• Context optimization at source: NETSCOUT delivers higher-density, relevant context so AI systems can spend less of their context window and compute budget.

Together, these capabilities deliver an AI-ready operational evidence layer that complements existing observability investments and can support human operators, analytics platforms, large language models, copilots, and AI agents. Smart Data is embedded across NETSCOUT solutions and can be integrated into enterprise data and AI workflows, enabling customers to use the operational intelligence within their chosen technology ecosystems.

Value Across the AI Maturity Curve

By meeting organizations wherever they are in their operational and AI transformation, NETSCOUT’s data platform helps customers:

• Operate more productively: Equip NetOps, SecOps, DevOps, SRE, and service teams with natural-language access to detailed operational evidence, accelerating investigation and helping resolve issues faster.
• Optimize token cost: Reduce the volume of low-value data AI must process by increasing signal density, helping organizations manage telemetry, storage, token, and compute costs without sacrificing the context required to understand service behavior.
• Automate with greater confidence: Provide AI systems with independently observed, explainable evidence to support recommendations, governance, auditability, and the controlled progression from assisted operations to agentic action.

This common foundation provides AI systems with evidence-based operational context suitable for governed automation and agentic workflows, and supports observability, cybersecurity, service assurance, cloud and data center transformation, and business-service resilience. It can help teams and agents expose hidden dependencies, distinguish infrastructure failures from application issues, identify protocol and security exposures, and understand the operational impact of an event across hybrid, multi-cloud, containerized, virtual, and physical environments.

Strategic Relevance for a Rapidly Evolving Market

As access to AI models broadens and model capabilities converge, the quality, completeness, and token efficiency of the context supplied to those models becomes a more lasting source of differentiation. NETSCOUT extends the value of its core deep packet inspection-at-scale technology into a new growth arena: providing the trusted operational intelligence layer for enterprise AI and automation.

For customers, this means a path to adopt AI without abandoning existing workflows or compromising visibility. For technology partners, it creates a source of curated, network-derived intelligence that can strengthen analytics and automation. For others, it demonstrates how NETSCOUT can apply its differentiated data foundation across observability, cybersecurity, AIOps, and AgenticOps.

Resources and Attributions:

• Learn more about NETSCOUT’s data platform at https://www.netscout.com/platform
• What Is AI-Ready Data? And How to Get Yours There, Rita Sallam. https://www.gartner.com/en/articles/ai-ready-data
• Gartner Press Release, “Gartner Says Lack of Semantics Causes Inaccurate AI Agents and Wasted Spending,” May 11, 2026. https://www.gartner.com/en/newsroom/press-releases/2026-05-11-gartner-says-lack-of-semantics-causes-inaccurate-artificial-intelligence-agents-and-wasted-spending
• AI can’t run on stale data: Why enterprises are rethinking their architecture, March 24, 2026, Devin Pratt. https://www.idc.com/resource-center/blog/ai-cant-run-on-stale-data-why-enterprises-are-rethinking-their-architecture/

ATERMES, a French leader in advanced surveillance and security solutions, today highlighted the growing importance of layered surveillance and protection in safeguarding critical infrastructure across the GCC. As the region navigates an increasingly complex and evolving security environment while continuing to invest in energy, transport, logistics, industrial and urban infrastructure, the ability to detect, assess and respond to potential threats at an early stage is becoming increasingly important.

The scale and geographic spread of strategic infrastructure across the Gulf create distinct security challenges. Energy installations, airports, ports, industrial facilities and major urban developments can cover extensive areas, requiring continuous monitoring across wide perimeters and sensitive zones. Operators must also account for an evolving range of risks, including threats from drones and other low-altitude aerial activity.

“As critical infrastructure expands across the GCC, security teams are being asked to protect larger and more complex environments against a broader range of risks,” said Lionel Thomas, Chairman and CEO of ATERMES. “Early detection is critical, but it is only one part of the equation. Operators need the ability to bring together information from multiple sources, understand what is happening and coordinate an appropriate response quickly and effectively.”

Addressing these challenges increasingly requires a layered approach that combines complementary technologies rather than relying on a single sensor or detection method. Electro-optical and infrared systems can provide long-range visual identification and day-and-night monitoring, while radar and radio-frequency detection can extend awareness of activity across the surrounding environment, including potential aerial threats.

Bringing these capabilities together through command-and-control systems can provide operators with a more coherent operational picture. Information from different sensors can be consolidated and assessed in context, helping security teams verify potential risks, prioritise events and determine the appropriate course of action.

Artificial intelligence can further support this process by analysing large volumes of sensor data, identifying anomalies and drawing operators’ attention to events that may require closer assessment. Rather than replacing human judgement, AI-assisted capabilities can help security personnel manage increasingly complex information environments and focus their attention where it is most needed.

For critical infrastructure, this layered model can extend beyond detection and identification to support the response phase. Depending on the operational environment and requirements, response capabilities can include interceptor drones, providing operators with options to address certain aerial threats as part of a wider protection framework.

The approach is particularly relevant to the Gulf, where security technologies may need to operate across large or remote sites and under demanding conditions, including high temperatures, dust, haze, darkness and changing visibility. Combining different detection methods can help maintain situational awareness when the effectiveness of any single technology may be affected by environmental or operational factors.

“The objective is not to add more individual technologies, but to make different capabilities work together as one coordinated system,” added Thomas. “By integrating electro-optical and infrared surveillance, radar, RF detection, AI and command-and-control capabilities, security teams can build a more complete picture of their environment, from initial detection through assessment and response. This layered approach is becoming increasingly relevant as GCC operators look to strengthen the resilience of strategic assets against evolving security challenges.”

Alongside technology, ATERMES sees regional cooperation as an important part of building sustainable security capabilities. The company is focused on developing long-term partnerships and exploring opportunities for industrial cooperation and localization that can support the development of local expertise and capabilities across the region.

Core42, a G42 company specializing in AI infrastructure and sovereign-enabled cloud, today signed a strategic collaboration agreement with the Technology Innovation Institute (TII), the applied research arm of Abu Dhabi’s Advanced Technology Research Council (ATRC), to expand locally developed digital sovereignty and cybersecurity capabilities in the UAE. Signed at GISEC Global 2026, the agreement reflects a shared commitment to developing home-grown security capabilities and contributing to the UAE’s sovereign technology ecosystem.

Strategic collaboration to develop and evaluate UAE-built sovereignty and security technologies for Core42’s sovereign-enabled cloud and Compass AI platforms.

The collaboration brings together Core42’s sovereign-enabled cloud and AI capabilities with TII’s cybersecurity research and technology development expertise to explore how UAE-developed security technologies can strengthen the protection, resilience and compliance of sovereign digital infrastructure and AI environments. As part of the agreement, Core42 and TII will collaborate on the co-development, evaluation, and deployment of security-enhancing technologies across Core42’s sovereign-enabled cloud and Compass, its generative and agentic AI platform. The scope includes hardware security modules, confidential computing, encrypted AI inferencing, secure key management and distribution, data protection mechanisms, encryption technologies and trusted computing capabilities.

The framework reflects a broader focus on developing critical technology capabilities within the UAE and creating pathways for home-grown innovation to address real-world cloud and AI sovereignty and security requirements. As organizations increasingly deploy sensitive data and AI workloads across cloud environments, protecting data, infrastructure, models and communications using cryptographic solutions is becoming an increasingly important component of sovereign technology architecture. The initiative also reinforces the UAE’s growing role as a center for advanced technology development, and Core42’s contribution to an ecosystem where sovereign infrastructure can increasingly be secured through technologies developed within the country.

Rajeev Nair, Senior Vice President, Special Projects, Core42, said: “Sovereignty means more than deciding where data and infrastructure reside; it is also about building the technology capabilities required to protect them from all angles. Working with TII gives us an opportunity to evaluate and advance UAE-developed sovereignty and cybersecurity technologies against the requirements of sovereign-enabled cloud and AI environments. By connecting local research and technology development with real-world platforms and use cases, we are helping build an ecosystem where the UAE is not simply adopting advanced technologies, but increasingly developing the capabilities that underpin them. This helps strengthen the country’s position as a global hub for trusted technology development.”

Dr. Victor Juan Mateu, Chief Researcher, Cryptography Research Center TII, said: “At TII, we are focused on translating advanced research into technologies that strengthen the UAE’s sovereign capabilities and address real-world security challenges. Our collaboration with Core42 creates an important pathway to evaluate and advance locally developed cybersecurity and trusted computing technologies within sovereign cloud and AI environments. By bringing together deep research expertise and real-world platforms, we can accelerate the journey from breakthrough innovation to practical deployment and contribute to a more secure and resilient technology ecosystem in the UAE.”