Root Cause Highlighting

Pinpointing Problems with Precision

"When a router interface fails, NetAI suppresses downstream alarms and highlights the root cause - saving hours of manual triage."

How the AI NOC Does It

The AI NOC excels at Root Cause Highlighting through its proprietary Dual-Stage Root Cause Analysis, powered by advanced Graph Neural Networks (GNNs). This approach ensures unmatched precision in identifying the true source of network issues, drastically reducing the time and effort spent on manual triage and troubleshooting.

Here’s how the AI NOC pinpoints problems with precision:

• Initial Root Cause Analysis:
  Upon detecting an anomaly, the AI NOC performs a rapid initial analysis, providing a summary of the root cause along with a suggested fix. This immediate response enables network teams to triage issues quickly and focus on resolution.

• Comprehensive Root Cause Analysis:
  In its second stage, the AI NOC delves deeper into the root cause just as an experienced network engineer would. By analyzing relationships and dependencies across devices, protocols, and events, the AI NOC ensures a thorough and accurate diagnosis.

• Downstream Alarm Suppression:
  Leveraging its GNN-powered causal graph, the AI NOC identifies how a single failure (such as a router interface going down) triggers downstream alarms. It suppresses these redundant alarms, consolidating them into a single root cause alert. For example, when a router interface fails, the AI NOC suppresses alarms from connected devices and highlights the failing interface as the root cause.

• Actionable Insights and Recommendations:
  The AI NOC provides clear, actionable steps for resolving issues such as reconfiguring routers or replacing faulty hardware. This guidance ensures that even junior engineers can efficiently address problems.

• Reducing Operational Noise:
  By consolidating alarms and focusing on the root cause, the AI NOC reduces the average number of tickets generated by 9 for every root cause identified. This significantly improves network team efficiency and prevents alert fatigue.

• Near-Perfect Accuracy:
  The dual-stage root cause analysis of the AI NOC achieves a near-perfect success rate in identifying network issues, ensuring teams can trust its insights and act quickly.

Why the AI NOC Stands Out

Traditional tools often flood teams with redundant alarms, forcing engineers to manually correlate events and identify the root cause. The AI NOC’s approach is unique because it:

• Suppresses Noise:
  Consolidates downstream alarms into a single, actionable root cause alert.

• Delivers Precision Diagnostics:
  Dual-stage analysis ensures both speed and depth in root cause identification.

• Reduces Triage Time:
  Saves hours of manual investigation, allowing teams to focus on resolution and strategic tasks.

• Proactively Prevents Escalation:
  By identifying and addressing the root cause immediately, the AI NOC prevents issues from escalating into larger incidents.