Equitus.ai and CyberSpatial on AWS: Intelligent Ingestion Technology
AIMLUX.ai Solutions Proposes - Network EYE - the deployment of Equitus.ai (KGNN & Graphixa) and Cyberspatial Teleseer are both deployed on Amazon Web Services (AWS), they form a "Cognitive Network Defense" and "Governance Factory" stack.
The AIMLUX integration solves the most difficult problem in AWS migrations: The gap between what you think is in your cloud and what is actually happening on the wire.
1. The Integrated AWS Architecture:
Improving the cyber security for cloud based networks Network Eye, Commercial Teleseer AMI provides the "Ground Truth" (Sensory Layer), while Equitus KGNN and Graphixa provide the "Semantic Intelligence" (Cognitive Layer).
|
Component |
AWS Resource |
Role |
|
Observation |
AWS VPC Traffic Mirroring |
Replicates raw packets from production ENIs and sends them to the
Teleseer sensor. |
|
Extraction |
Teleseer (AWS AMI) |
Analyzes traffic passively to build
a real-time Digital Twin of the network topology. |
|
Governance |
Graphixa.ai (AWS) |
Ingests the Teleseer topology and applies Triple Logic to
create a deterministic audit trail of data movement. |
|
Inference |
Equitus KGNN (AWS) |
Powers the knowledge graph to
detect Mission Relevant Terrain (MRT) and hidden risks
(Shadow IT). |
2. How the Integration Works (Technical Handshake)
The integration moves data through three distinct "states of truth":
State 1: Network Truth (Teleseer)
Teleseer captures the raw VPC traffic and identifies every host and protocol.
Example: It sees a legacy Oracle instance (
10.0.1.50) sending 5GB of data to an S3 Endpoint.
State 2: Semantic Truth (Graphixa)
Graphixa ingests this network data and converts the "connection" into a Semantic Triple. It applies the enterprise ontology to give the connection a business purpose.
Triple:
Payroll_Database--->performs_Backup--->S3_Migration_Bucket.
State 3: Mission Truth (Equitus Fusion (KGNN))
The Fusion (KGNN) analyzes the triples to ensure they align with the mission. If it sees a triple like Payroll_Database ---> connects_to ---> Unknown_External_IP, it flags it as an Inconsistency. Because it's a Neural Network, it can infer that the external IP is likely a "Shadow IT" reporting tool that was never authorized.
3. Key Benefits for Enterprise Migrations
Zero-Blindness Migration: Before moving an Oracle database to SAP RISE or IBM DB2, Teleseer identifies all hidden dependencies (the "spaghetti" of old APIs). Graphixa then creates a "Migration Road Map" based on these triples.
100% Deterministic Audit: For every record landed in the new AWS environment, Graphixa provides a "Proof of Transit." This is an immutable audit receipt linking the database record back to the exact packet hash captured by Teleseer on the AWS wire.
Explainable AI (XAI): When a security alert is triggered, the KGNN doesn't just say "Danger." It provides the Semantic Lineage, explaining why the connection is risky based on its relationship to your Mission Relevant Terrain.
4. Deployment Workflow on AWS
Sensor Deployment: Launch the Teleseer AMI in a dedicated Security VPC.
Traffic Mirroring: Enable AWS VPC Traffic Mirroring on your mission-critical Application ENIs, setting the Teleseer instance as the destination.
Intelligence Ingestion: Use a Python-based Lambda or direct API hook to push Teleseer's JSON-LD topology updates into the Graphixa/Equitus ingestion endpoint.
Ontology Mapping: Define your "Clean Core" or "Zero-Trust" rules within the Equitus KGNN to begin automated monitoring.
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