IBM/EDB "Sovereign AI"

"Sovereign AI"

(IIS--->AAA)

AIMLUX.ai Proposes, deploying Intelligent Ingestion Solutions (IIS) to develop a migration support services combing Equitus.ai (KGNN/Graphixa) with the IBM Data Management Platform (DMP) for EDB Postgres to create/enhance a powerful, unified ecosystem where the database provides the raw transactional power and the graph engine provides the "intelligence layer" to add value at speed / scale / security.

Compelling value is created Because both systems are optimized for IBM Power10/11, and share a hardware DNA that allows for ultra-low latency and "Sovereign AI" (AI that stays completely on-premises) and supports the infusion of Enterprise AI. 

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1. The Architectural Connection: "Side-Car" Integration

Equitus KGNN does not replace EDB; it acts as an intelligent "side-car." The interface typically happens at three levels:

A. Automated Ingestion (The Data Plane)

KGNN features Auto-ETL capabilities designed to point directly at EDB Postgres instances.

• JDBC/Native Drivers: KGNN connects to EDB via standard high-performance drivers to ingest tables, schemas, and even unstructured data (PDFs/Logs) stored in the database.

• Log Streaming: For security, KGNN can ingest EDB Audit Logs in real-time. It converts flat log lines into a "Behavioral Graph" to detect the privilege escalation threats mentioned earlier.

B. Semantic Layer (The Intelligence Plane)

While EDB stores data in rows and columns, KGNN extracts the entities and relationships.

• Fact Extraction: If EDB contains a "Customer" table and an "Orders" table, KGNN automatically links them into a graph of "Person -> Placed -> Order."

• Contextual Enrichment: It can merge EDB’s structured data with external unstructured data, creating a single Knowledge Graph that Graphixa then visualizes.

C. Hardware-Level Synergy (IBM Power10/11)

Both platforms leverage MMA (Matrix Math Accelerator) on the Power chip.

• Shared Memory: On an IBM Power server, EDB and Equitus can share high-bandwidth memory (LPARs), allowing KGNN to query EDB data without the network latency typical of x86 cloud environments.

• Zero-GPU AI: KGNN performs its neural network calculations directly on the Power CPU, meaning you don't need to install or manage complex NVIDIA GPU clusters alongside your EDB database.

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2. Visualizing the Security Workflow (Graphixa): Utilizing the "Triple Store" 

Graphixa provides the "Glass Table" view for this integration. Instead of looking at SQL query results, a security admin sees a living map.Graphixa utilizes its underlying RDF Triple Store (the Subject-Predicate-Object model)

Example Scenario: An attacker uses a "Zombie Connection" to hold open a port on EDB.

1. EDB logs the connection but doesn't see it as "malicious" (it's just a long-running task).

2. KGNN ingests this log and compares it to the "Graph of Normal Life." It sees that this specific connection node has no related "Activity" nodes (no data being read).

3. Graphixa highlights that connection node in red on the admin's dashboard, showing exactly which LPAR or user initiated it.

 

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3. Key Benefits of this Interface

Feature	EDB on IBM Power (Standard)	EDB + Equitus KGNN/Graphixa
Data Structure	Relational (Rows/Columns)	Semantic (Relationships/Nodes)
Threat Detection	Signature/Rule-based	Behavioral Anomaly Detection
Analytics Speed	High (SQL-based)	Ultra-High (Graph-traversal AI)
User Interface	CLI / Command Center	Visual Graph Exploration (Graphixa)
AI Capability	pgvector (Manual embeddings)	Auto-Generating Knowledge Graph