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.
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.
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.
Content delivery networks (CDNs) play an important role in today’s internet architecture. They improve performance, reduce latency, and help absorb large-scale traffic surges. As a result, many organizations have come to rely on CDNs not only for content delivery but also as their primary—or only—line of defense...
AI has become a cornerstone of modern telecom operations. From AIOps platforms that automate troubleshooting to AI-driven security tools that detect emerging threats, service providers are investing heavily in technologies designed to make networks smarter and more resilient. But as highlighted in a recent Mobile...
When America’s founders declared independence in 1776, communication traveled at the speed of a horse. Messages moved between colonies via riders, ships, and handwritten letters. Information that today can be transmitted across the country in milliseconds often took days or weeks to arrive. As the nation celebrates its...
Communications service provider (CSP) networks have evolved from static infrastructure into dynamic, multidomain ecosystems spanning radio-access network (RAN), transport, core, and cloud. While modern observability provides visibility into real-time events, it falls short of answering the more critical questions...