Anomaly Detection In Complex Topologies

Uncovering Hidden Issues in Complex Networks

"In a multi-vendor environment with stateless and stateful access controls spread across different systems, NetAI identified a misconfigured route-map causing traffic disruption. What would have required checking dozens of devices was resolved in seconds." 

How the AI NOC Does It

The AI NOC employs advanced Graph Neural Networks (GNNs) to analyze complex, multi-vendor network topologies and uncover hidden issues that traditional tools often overlook. By modeling the intricate relationships between devices, protocols, and traffic flows, the AI NOC delivers a holistic, end-to-end view of the network enabling rapid anomaly detection and resolution with unmatched accuracy.

Here’s how the AI NOC tackles anomaly detection in complex environments:

• Comprehensive Multi-Vendor Data Collection:
  The AI NOC integrates seamlessly with diverse systems, collecting telemetry from stateless and stateful access controls, routing devices, and firewalls across all major vendors. It supports protocols like NetFlow, SNMP, syslogs, and more to provide a complete, unified view of network behavior.

• Topology Mapping and Relationship Modeling:
  Leveraging GNNs, the AI NOC dynamically maps the entire network topology including interdependencies between devices, configurations, and protocols. This ensures that even in highly distributed, multi-vendor environments, the AI NOC understands how a single misconfiguration or failure can impact the broader network.

• Anomaly Detection with GNNs:
  The AI NOC establishes a baseline for normal network behavior and uses its GNN-powered causal graph to detect anomalies in real time. For example, if a misconfigured route-map disrupts traffic flows, the AI NOC instantly recognizes and correlates these disruptions back to the specific device and configuration responsible.

• Root Cause Identification:
  Instead of requiring engineers to manually check dozens of devices, the AI NOC pinpoints the exact source of the problem within seconds. By analyzing relationships and dependencies, it identifies misconfigurations, routing issues, or other anomalies with over 99.9% accuracy.

• Actionable Recommendations:
  The AI NOC provides clear, step-by-step guidance to resolve the issue such as reconfiguring a route-map or adjusting device settings. This ensures that even junior engineers can take immediate, confident action.

Why the AI NOC Stands Out

Traditional tools struggle in complex, distributed topologies because they analyze data in silos leading to incomplete insights and slower resolution. The AI NOC’s unique approach offers:

• Holistic Visibility:
  Models the entire network, including multi-vendor environments, for true end-to-end visibility.

• Deterministic Anomaly Detection:
  GNNs deliver precise, explainable, and reproducible results eliminating the guesswork of traditional AI tools.

• Rapid Troubleshooting:
  Resolves issues in seconds that would otherwise require hours or days of manual investigation.

• Scalability:
  Efficiently handles large-scale, distributed networks with millions of nodes and connections.