Cross-Domain Correlation

Connecting the Dots Across Your Network

"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, powered by NetAI’s patented Graph Neural Networks (GNNs), performs cross-domain correlation to deliver a holistic view of your network’s behavior. Unlike traditional network operations tools that analyze data in isolation, the AI NOC connects the dots across diverse data sources, such as NetFlow, SNMP, syslogs, telemetry, and configuration data, creating a unified causal graph to identify and resolve complex issues in real time. When silent traffic blackholing or other subtle anomalies occur, the AI NOC:

• Aggregates Data from Multiple Sources:
  The AI NOC collects and processes data from various domains (e.g., NetFlow for traffic patterns, SNMP for device health, and syslogs for event logs), ensuring complete network visibility.

• Builds a Causal Graph:
  Using GNNs, the AI NOC maps relationships between devices, protocols, and events—uncovering interdependencies that traditional tools overlook.

• Correlates Events Across Domains:
  The AI NOC analyzes how events in one domain (such as a routing misconfiguration) impact other domains (like traffic flows or application performance), enabling rapid root cause identification.

• Detects Hidden Issues:
  The AI NOC identifies subtle problems like silent traffic blackholing—where traffic is dropped without generating alerts—by recognizing unusual patterns in correlated data.

• Delivers Actionable Insights:
  The AI NOC provides clear root cause analysis with actionable recommendations, ensuring engineers can quickly resolve issues and restore service.

Why the AI NOC Stands Out

Traditional NOC tools often operate in silos, analyzing data sources independently and missing critical cross-domain insights. The AI NOC’s unique approach offers:

• Deterministic Correlation:
  By leveraging GNNs, the AI NOC provides precise causal relationships instead of probabilistic guesses.

• Multi-Domain Awareness:
  The AI NOC integrates data from all network layers and domains, offering a truly comprehensive view of network health and performance.

• Proactive Detection:
  The AI NOC detects issues before they escalate, such as silent traffic blackholing, which rule-based systems often miss.

• Actionable Recommendations:
  Engineers receive step-by-step guidance from the AI NOC to address the root cause, reducing Mean Time to Repair (MTTR) by up to 90%.