Teleseer - "Sensory Layer" for enterprise networks

 

[Raw Packet Ground Truth]

Cyberspatial’s Teleseer, when deployed via an AWS AMI, serves as the "Sensory Layer" for enterprise network intelligence, feeding high-fidelity ground truth into Graphixa.ai. This integration creates a continuous pipeline from raw network activity (Data-in-Motion) to structured, governed knowledge.

The Integration Architecture: [Packet to Purpose]

By combining these tools, enterprise users can bridge the gap between low-level network packets and high-level business logic.

Phase	Tool	Role in Integration
Observation	Teleseer (AWS AMI)	Ingests PCAP (Packet Capture) data via AWS VPC Traffic Mirroring. It builds a "Digital Twin" of the network topology without agents or scanning.
Interpretation	Graphixa.ai (Ontology)	Consumes the topological and behavioral data from Teleseer. It converts raw connections into Semantic Triples (Subject ---> Predicate ---> Object).
Action	Governance Layer	Uses the Equitus KGNN (Knowledge Graph Neural Network) to detect anomalies or "Shadow IT" that don't match the defined enterprise ontology.

How Enterprise Users Benefit: Rapidly Improving validation adds Augmentation, Automation and Authorization (AAA) value to systems

• Zero-Trust Network Mapping: Teleseer identifies exactly what is communicating on the wire, revealing hidden dependencies that static inventories miss. Graphixa then tags these dependencies with business context (e.g., "This IP is the Payroll Database").

• Automated Data Lineage: For cloud migrations (e.g., Oracle to SAP RISE), Graphixa uses Teleseer’s traffic data to provide a 100% deterministic audit trail. This ensures that every record moved is verified by the raw packet ground truth captured on the AWS network.

• Intelligent Threat Hunting: Teleseer’s real-time behavioral monitoring allows Graphixa to flag "Lateral Movement". Because Graphixa understands the Triple Store Ontology, it can distinguish between a legitimate backup job and a malicious exfiltration attempt by comparing current traffic against established "Mission Relevant Terrain".

Deploying the Stack on AWS

1. Deploy Teleseer AMI: Launch the instance in your VPC to act as the primary sensor.

2. Mirror Traffic: Use AWS VPC Traffic Mirroring to send production ENI traffic to the Teleseer sensor.

3. Sync with Graphixa: Configure the Graphixa.ai orchestrator to pull the resulting JSON/metadata from Teleseer’s API to populate the enterprise knowledge graph.

Would you like me to draft a technical configuration guide for setting up the API handshake between the Teleseer AMI and your Graphixa instance?

Mapping Networked Devices with Graph AI

This video explains how graph neural networks can leverage passive network data to map interconnected devices, which is the foundational principle behind integrating Teleseer's discovery with Graphixa.ai's semantic triples.