The combination of CyberSpatial TeleSeer and Equitus.us KGNN (Knowledge Graph Neural Network) creates a unified "Physical-Digital-Relational" intelligence layer. While TeleSeer provides the "eyes" on the network, KGNN provides the "brain" that understands the hidden relationships between those network assets and the real-world entities they represent.

Here is how they work together to produce a comprehensive security posture:

1. The Data Loop: From Packets to Patterns

The two systems create a feedback loop that moves from raw network traffic to high-level strategic insights.

 * Step 1: TeleSeer (The Sensory Layer): TeleSeer captures network traffic (PCAPs) passively and agentlessly. It identifies every device, protocol, and connection path. It produces a Digital Twin of the network infrastructure.

 * Step 2: KGNN (The Contextual Layer): KGNN ingests the output from TeleSeer. It takes that "network map" and overlays it with non-network data, such as:

   * Personnel records (Who owns this device?)

   * Financial transaction logs (Is this server processing high-value transfers?)

   * Geospatial data (Where is this server physically located?)

 * The Result: A Semantic Knowledge Graph where a node isn't just an "IP Address," but a "Critical Financial Server located in London, managed by Admin X, currently interacting with an unauthorized endpoint in Region Y."

2. Enhanced "Mission Relevant Terrain" (MRT-C)

TeleSeer has a built-in feature called Mission Relevant Terrain in Cyberspace (MRT-C), which scores assets based on their network importance (e.g., "This router is a chokepoint").

 * How KGNN Improves It: KGNN refines these scores by adding "Business Impact."

 * Example: TeleSeer might flag two routers as equally important because they have the same number of connections. However, KGNN recognizes that Router A carries encrypted traffic for the "Executive Payroll" system, while Router B carries guest Wi-Fi.

 * Action: The system automatically prioritizes the protection and authorization of Router A, augmenting the security team’s focus.

3. Collaborative Security (NetOps + SecOps)

By working together, these tools bridge the gap between technical network management and strategic security governance.

| Feature | CyberSpatial TeleSeer | Equitus KGNN | Integrated Value |

|---|---|---|---|

| Visibility | Layers 1–7 Network Traffic | Relational Entity Data | Total Domain Awareness |

| Detection | Anomalous Traffic/Spikes | Relationship Anomalies | Fraud & Insider Threat Detection |

| Automation | Network Mapping | Data Unification | Zero-Manual Data Stitching |

| Authorization | Pathway Validation | Identity Governance | Hardware-Level Zero Trust |

4. Implementation on IBM Power & Dell Systems

Through the TD SYNNEX/Destination AI partnership, this joint solution is delivered as a pre-validated stack:

 * Power 10/11 MMA: Equitus KGNN runs on the IBM Power Matrix Math Accelerator, processing the graph neural network without needing GPUs.

 * Dell PowerEdge GPUs: TeleSeer uses the GPUs to render the massive 3D visualizations and digital twins for real-time monitoring.

Next Step

Would you like me to create a Project Network Eye workflow that shows how a "Suspicious Credit Decision" (detected by KGNN) triggers a "Network Isolation" visual alert in TeleSeer?