Volunteers from our Brno office rolled up their sleeves to help @pcfenix_cz prepare its new facility for renovation. They moved furniture, transported materials, and tackled plenty of heavy lifting to help create a better space for people with spinal cord injuries.
It was a day of teamwork, community, and putting some serious muscle behind a meaningful mission. 💪💚 #NETSCOUTLIfe
IT outage → flight delay → missed connection → stranded passenger → lost revenue.
In aviation, a technology problem doesn’t stay a technology problem for long. https://t.co/91ONXrIeuS
AI is moving from recommending actions to taking them. At machine speed, incomplete visibility becomes operational risk. Our latest article examines why AI needs complete operational evidence before entering the control loop.
Three days. Countless opportunities to rethink what’s possible.
Go deep in technical sessions. Get hands-on with the technology. Bring your toughest questions to NETSCOUT experts and exchange ideas with your peers.
See what you can solve next.
You wouldn’t trust AI with bad data. So why build it on incomplete, noisy, or disconnected telemetry?
See what “data fitness” means, why it matters for AI-driven operations, and how to assess your AI readiness. https://t.co/d8Jm4aBKFG
Data curation goes beyond filtering noise. It turns raw operational activity into structured, context-rich intelligence, preserving what matters while reducing unnecessary volume. Smart Data creates a curated, AI-ready foundation for better signal from the start.
Here’s what “AI-ready data” actually means: Comprehensive. Curated. Credible. Consistent. Continuous.
NETSCOUT Smart Data is built around all five, giving AI and observability structured operational intelligence grounded in observed activity.
Metrics and logs can tell part of the story. Observed network activity adds context about what actually happened across services, applications, and users.
AI can only deliver business value when organizations can trust what it’s doing. Smart Data provides real-time operational truth across your digital environment, giving AI a trusted data foundation. Not sampled. Not inferred. Observed.
Our volunteer crew was busy packing 300 snack bags, 246 Stop the Bleed kits, and 200 brochures for the Citizens Fire Academy Association and Allen Fire Department’s senior fall-prevention efforts.
That’s a lot of resources headed where they can do some good. These volunteers deserve a round of applause! 💚 #NETSCOUTLIfe
Not all observability data tells you what actually happened. NETSCOUT Smart Data adds context from observed activity, giving teams a more complete view of performance.
The result: fewer blind spots, faster troubleshooting, and better digital experiences.
QKS Group has named NETSCOUT a Leader and Ace Performer in the 2026 SPARK Matrix for DDoS Mitigation for the second consecutive year, recognizing an approach that combines deep network visibility, global threat intelligence, and hybrid protection.
For organizations responsible for keeping critical services running, that translates into greater visibility, control, and precision when DDoS attacks put availability on the line.
https://t.co/5b2qhYcEMr
If your DDoS strategy begins and ends with a CDN, it's time to review your attack surface. Learn which services may still be vulnerable and how to strengthen your overall defense
When application tools don’t tell the whole story, NETSCOUT helps teams see what’s actually happening on the wire. Add outstanding support to the investigation, and you can see why this customer noticed the difference.
Truth has a way of standing out. https://t.co/JZLgMjE0bZ
What does your AI actually know about what’s happening across your digital environment?
Give it the real story. Smart Data turns observed activity into trusted, AI-ready intelligence.
The future of AIOps depends on operational truth.
Clearer signals. Faster decisions. Stronger resilience. More confident automation.
AI is only as effective as the operational data foundation behind it. https://t.co/QO0cwhJgZC
AI will expose every weakness in your operational data foundation.
Because AI doesn’t fix uncertainty in the data it depends on. It can amplify it.
And that creates a problem for AIOps. 🧵
When something goes wrong, IT teams need trusted answers fast:
What changed?
Where did the issue begin?
What systems are impacted?
AI can help accelerate decisions, but only when the data behind those decisions provides the context teams need.
AI is raising the stakes for RAN performance. For CSPs, the opportunity goes beyond automation to smarter operations, greater efficiency, and better subscriber experiences. See what it takes to turn AI’s potential in the RAN into real value.