NETSCOUT’s network security experts provide world-class cyber security research and threat analysis for the benefit of today’s enterprise and network operators.
When an organization gains end-to-end visibility into its network and application environment, teams can spot issues before they become full-blown problems.
Each October is recognized as Cybersecurity Awareness Month, and 2026’s theme is around practicing the 3 R’s of cybersecurity to reduce risk and expedite recovery.
AI does not fail because it lacks intelligence. It fails when incomplete network data forces it to guess, turning automation into assumptions instead of answers.
Shadow AI is growing faster than AI governance, hiding in apps and APIs right under your nose. Stop guessing. Use NETSCOUT to detect the hidden activity running on your network.
Introducing nGenius Copilot for Enterprise: NETSCOUT's latest addition to nGeniusONE that extends the platform with an AI-powered natural-language interface to interact with Smart Data.
NETSCOUT has multiple can't-miss sessions for enterprises at ENGAGE 26. Learn more about the actionable insights that can be gleaned from NETSCOUT Smart Data.
Incident response plans are an imperative strategy for security teams at any organization. Learn why they are important, how they help, and what to factor in.
NETSCOUT’s Omnis Streamer now includes a built-in MCP server, giving AI agents and LLMs real-time access to Smart Data for AI workflows and autonomous troubleshooting.
Find NETSCOUT at SCTE TechExpo26, Booth B430, from September 29 through October 1. See firsthand how curated, multidomain NETSCOUT Smart Data powers smarter operations, strengthens security, and protects network and service availability.
AI is reshaping network observability—turning data noise into clear signals, eliminating war room inefficiencies, and helping IT teams communicate insights faster. NETSCOUT and GigaOm explore this shift in a new webinar.
New research from EMA showcases why observability unification is a high priority for IT operations teams, leading them to rethink their approach in response to tool sprawl and evolving AI goals.