Top 5 Takeaways from NetBrain LIVE 2025 that Redefine NetOps Outcomes in 2026

1. Halving MTTR Every 12 Months

CEO Lingping Gao introduced a prediction that challenges conventional thinking about network troubleshooting: AI and automation will halve Mean Time to Repair every 12-18 months. Today’s common multi-hour incidents could shrink to under 30 minutes within a few product cycles.

The drive to achieve this outcome stems from Gao’s 20-year journey combating multi-hour troubleshooting sessions. “If you’re on vacation, a three-hour interruption means you’re ruining the whole vacation,” he explained during his keynote. The prediction aims to eliminate those weekend calls and vacation interruptions that define network operations.

What makes halving MTTR every 12 months achievable? It comes down to three foundational pillars:

• Observability Index (OI): Continuously increasing network observability across applications, security policies, and architecture designs
• Automation and AI Index (AAI): Leveraging integrated diagnosis that taps into industry-wide knowledge, not just individual expertise
• Self-Healing Index (SHI): Proactive monitoring and testing of redundancy systems, disaster recovery, and failover capabilities

2. Golden Assessment: Your Network’s DNA Sequencing

LP drew parallels to genomic medicine during his keynote: “The first human genome cost $100 million and took months to sequence. Today it takes a few hours and costs $200.” Golden Assessment applies the same transformation to network infrastructure, automatically discovering the fundamental rules, policies, and intents that define how networks operate.

The technology identifies network vulnerabilities, establishing baselines, and detecting deviations that signal potential outages, building off of industry knowledge found in the Golden Assessment Library. “What is the vulnerability you have? When there’s a deviation, is that an outage, or is it common?” Gao asked. Golden Assessment answers those questions continuously across multi-vendor environments with thousands of devices.

The shift moves network operations from reactive troubleshooting to more automated and predictive analysis and execution, treating issues based on deep understanding of the infrastructure blueprint rather than surface symptoms.

An example from LP’s keynote: a customer approached NetBrain with 700 pairs of firewalls and a critical question about split-brain vulnerabilities. Manual analysis would take a year, meaning it would never get done. Instead, Golden Assessment completed the audit quickly and established continuous monitoring.

And that’s just one application! As LP noted, Golden Assessments will provide “herd immunity” to the most common issues as more and more networks utilize this powerful tool.

3. Everything as Code: Removing Humans from Repetitive Loops

Network teams create runbooks and automation workflows, then face a bottleneck: someone needs to know which automation to run for each problem. “You are creating a lot of great automations,” LP noted, “but then you say, I have to tell that guy who owns the problem in order to know how to run it. Not anymore.”

Everything-as-Code encompasses diagnosis, changes, security assessments, architecture reviews, and compliance checks as automated workflows. AI identifies the right automation for each situation and executes it without human intervention. When an OSPF adjacency fails, the system automatically runs diagnostic code. When compliance drift is detected, remediation code executes.

This approach makes network operations deterministic and repeatable across hundreds or thousands of devices. “Everything is repeatable, enforceable,” Gao explained. “You no longer drive people into something called repetition.”

The result eliminates what LP termed “the retention loop,” or the endless cycle of repetitive tasks that prevents teams from focusing on strategic initiatives.

4. AI Deep Diagnosis: Six PhD-Level Agents Working 24/7

Network engineers can sometimes get caught troubleshooting alone at 2 AM while experts sleep. Deep Diagnosis deploys AI agents that never tire. “There’s half a dozen agents, thinking at about a PhD level,” LP explained. “They don’t have the problem like me, getting tired, and wanting to go home.”

Each agent handles specialized responsibilities: planning, iteration, tracking, and summarization. They process billions of metrics simultaneously, correlating data and reasoning together to identify root causes. “Your network is not 10,000 independent nodes from 20 vendors,” Gao noted. “It’s one network.” The agents analyze infrastructure holistically using NetBrain’s Digital Twin technology.

“A lot of challenges, like the weekend, or vacation, where you get a call now become optional,” LP predicted. Deep Diagnosis aims for 99% coverage of network incidents, identifying root causes, dismissing false positives, or flagging issues requiring human investigation.

5. Solving 100 Problems at Once: Post-Mortem Assessments

NetBrain LIVE 2025 highlighted how network assessments are now designed to scale. Post-Mortem Assessments now turn every troubleshooting session into a source of actionable prevention. Instead of closing an incident and moving on, findings from one issue are automatically screened against the entire network.

When an outage occurs, Post-Mortem Assessments go beyond identifying a root cause, using automation to codify the findings and apply them as intent checks across similar devices or configurations. As a result, the fix doesn’t stay isolated; rather, it helps prevent similar incidents elsewhere and updates the network’s baseline for future monitoring.

Combined with the previously mentioned Golden Assessments, this approach allows for a new reality: one solved problem now means that hundreds of at-risk devices can be remediated before issues surface again.

NetBrain’s AI-Powered Network Automation Platform is Built for the Future of NetOps

NetBrain’s roadmap targets the persistent challenges in network operations: extended troubleshooting sessions, weekend emergency calls, and manual repetitive tasks. With Gao’s Law predicting MTTR reductions every 12-18 months and technologies like Deep Diagnosis approaching 99% incident coverage, the shift from reactive firefighting to proactive prevention accelerates, and NetBrain is the platform built to harness this new reality in 2026 and beyond.