NETSCOUT has joined forces with TM Forum and global tech players to push the limits of AI-powered network management. Their latest collaboration: the NeuroNOC Catalyst project, unveiled at DTW Ignite 2025 in Dubai.
What is NeuroNOC?
NeuroNOC is a TM Forum-led Catalyst project that aims to build a “self-healing network brain” using AI agents, automation, and high-quality data to fix telecom issues faster and smarter.
- Partnered with AWS, Accenture, Symphonica, and Sand Technologies
- Backed by BT Group, Omantel, Telecom Argentina, Safaricom, and others
- Focused on fault detection, root cause analysis, and automated fixes
NETSCOUT’s Role
NETSCOUT brought its Omnis AI Insights to the table:
- Omnis AI Sensor for deep packet inspection (DPI)-based network visibility
- Omnis AI Streamer for data analytics and filtering via open API
The result? AI agents could find registration issues, identify causes using a curated LLM, and fix the problem with minimal human input.
Big Wins
The pilot showed real operational improvements:
- 80% cut in manual troubleshooting
- Up to 50% drop in operational costs for service providers
- 80% reduction in AI tokenization via AWS Bedrock
It proves that without quality data, AI doesn’t work. With it, telecom networks can become more efficient, faster, and less costly.
Why It Matters
This project makes it clear: AI alone isn’t magic. The real power comes from combining real-time, curated data with automation.
As NETSCOUT’s Richard Fulwiler put it: “Without high-quality packet collection, you can’t connect the dots or automate meaningful fixes.”
Summary
NeuroNOC is a strong case for AI and automation in telecom. NETSCOUT’s data-first approach proved essential for AI agents to actually perform. With results like lower costs, faster issue resolution, and better efficiency, this is a solid step toward smarter, self-healing networks.
FAQs
What is the NeuroNOC Catalyst project?
A TM Forum initiative using AI and automation to create self-healing telecom networks.
What did NETSCOUT contribute?
Its Omnis AI Sensor and Streamer delivered real-time, deep network visibility for AI decision-making.
What results came out of the pilot?
80% less manual troubleshooting, 50% lower operating costs, and more efficient AI data use.
