Netscout

NETSCOUT’s AI-curated RAN data preserves correlation and causality, enabling AI to uncover hidden network issues, optimize handovers and carrier aggregation, improve capacity, and deliver actionable operational intelligence.

Telecom companies face significant challenges when applying AI due to poor data quality, creating a need for smarter data to unlock AI’s value in network intelligence.

In part three of NETSCOUT's summaries of our surveys at Cisco Live 2026 we cover how top executives and IT contributors view the business impacts caused by network disruptions.

Poland’s CERT recently published a follow-up report on a cyberattack that shut down a steam turbine and water treatment system. Omnis Cyber Intelligence could’ve detected and stopped this before an outage occurred.

NETSCOUT named a Leader and Ace Performer in the QKS Group Spark Matrix™ Distributed Denial of Service (DDoS) Mitigation based on technology and customer impact.

Enterprise complexity is worsening resolution times; NETSCOUT advocates packet-based observability and DPI to deliver actionable visibility and predictive IT operations.

AI success in mobile networks depends on curated, context-rich data—not raw telemetry. By transforming packet data into actionable intelligence and leveraging MCP, service providers can scale accurate, reliable, AI-driven network operations.

Learn how NETSCOUT Smart Data helps control observability costs, strengthen resilience, and build AI-ready digital operations at scale.

Technical debt, soaring cloud costs, and hidden security threats are keeping IT leaders awake. Learn how to cut through operational noise and restore control.

NETSCOUT and Intellyx have partnered to explain why AI-Ready Smart Data is a necessity for enterprise networks to maximize their observability efforts.

AI is moving closer to the heart of the network itself: the radio access network, where coverage, capacity, latency, energy use, and subscriber experience are shaped in real time.

Network downtime costs enterprises millions every minute. Real-time data protects your bottom line before systems fail and customers notice.

AI adoption is accelerating, but successful AIOps and AgenticOps require trusted telemetry, comprehensive visibility, and governance to support reliable, explainable, and increasingly autonomous operations.

Autonomy is the future of next-generation networks. The introduction of agentic AI demands an increase in closed-loop automations, making high-fidelity, curated data and end-to-end visibility critical cornerstone elements for achieving real-time insights for successful network performance and operations—and for optimum service assurance.

Network telemetry is actually business revenue telemetry. Every packet and digital interaction shapes the customer experience, which directly influences retention and customer lifetime value.

With telecom providers facing rising AI-driven fraud, the expanding data and attack surfaces require integrated, AI-powered, automated detection; real-time responses; and unified visibility to protect an evolving infrastructure.

Cybersecurity is shifting from prevention to resilience as AI-driven, machine-speed attacks outpace traditional defenses, requiring visibility, automation, and intelligence to ensure continuity, rapid response, and business stability.

The explosion of AI traffic is quietly redefining how networks behave. Discover how technology leaders are adapting infrastructure to protect business outcomes.

AI is outpacing traditional governance, creating an observability gap. Real-time evidence helps leaders understand, explain, and defend AI decisions while maintaining accountability, trust, and confidence at scale.

NETSCOUT is named a SPARK Matrix Leader in Network Observability for the third consecutive year by QKS Group's 2026 report.